FreeCourseSite com Udemy The Data Science Course Complete Data Science Bootcamp

FreeCourseSite com Udemy The Data Science Course Complete Data Science Bootcamp

Name	[FreeCourseSite.com] Udemy - The Data Science Course Complete Data Science Bootcamp	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	9.9 GB
Total Files	1523
Last Seen	2025-06-30 02:13
Hash	3FF83AC61BA63ED0429CF4DF7457BD96E24B31F4

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - Part 1 Introduction/
001 A Practical Example What You Will Learn in This Course.mp4	46.1 MB
001 A Practical Example What You Will Learn in This Course_en.srt	8.4 KB
002 What Does the Course Cover.mp4	53.9 MB
002 What Does the Course Cover_en.srt	6.7 KB
003 Download All Resources and Important FAQ.html	21.8 KB
003 Download-all-resources.url	0.1 KB
003 FAQ-The-Data-Science-Course.pdf	313.4 KB
external-links.txt	0.1 KB
/02 - The Field of Data Science - The Various Data Science Disciplines/
001 Data Science and Business Buzzwords Why are there so Many.mp4	60.1 MB
001 Data Science and Business Buzzwords Why are there so Many_en.srt	9.2 KB
002 What is the difference between Analysis and Analytics.mp4	11.7 MB
002 What is the difference between Analysis and Analytics_en.srt	6.3 KB
003 365-DataScience-Diagram.pdf	330.8 KB
003 Business Analytics, Data Analytics, and Data Science An Introduction.mp4	55.2 MB
003 Business Analytics, Data Analytics, and Data Science An Introduction_en.srt	13.6 KB
004 365-DataScience-Diagram.pdf	330.8 KB
004 365-DataScience.png	7.3 MB
004 Continuing with BI, ML, and AI.mp4	38.7 MB
004 Continuing with BI, ML, and AI_en.srt	15.3 KB
005 365-DataScience.png	7.3 MB
005 A Breakdown of our Data Science Infographic.mp4	47.5 MB
005 A Breakdown of our Data Science Infographic_en.srt	6.2 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/03 - The Field of Data Science - Connecting the Data Science Disciplines/
001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML_en.srt	11.3 KB
/temp/
index_13908866.mpd	60.7 KB
/04 - The Field of Data Science - The Benefits of Each Discipline/
001 The Reason Behind These Disciplines.mp4	49.0 MB
001 The Reason Behind These Disciplines_en.srt	8.0 KB
/05 - The Field of Data Science - Popular Data Science Techniques/
001 Techniques for Working with Traditional Data.mp4	112.6 MB
001 Techniques for Working with Traditional Data_en.srt	13.5 KB
002 Real Life Examples of Traditional Data.mp4	19.3 MB
002 Real Life Examples of Traditional Data_en.srt	2.9 KB
003 Techniques for Working with Big Data.mp4	65.1 MB
003 Techniques for Working with Big Data_en.srt	7.1 KB
004 Real Life Examples of Big Data.mp4	13.7 MB
004 Real Life Examples of Big Data_en.srt	2.3 KB
005 Business Intelligence (BI) Techniques.mp4	55.4 MB
005 Business Intelligence (BI) Techniques_en.srt	10.8 KB
006 Real Life Examples of Business Intelligence (BI).mp4	25.9 MB
006 Real Life Examples of Business Intelligence (BI)_en.srt	2.7 KB
007 Techniques for Working with Traditional Methods.mp4	79.8 MB
007 Techniques for Working with Traditional Methods_en.srt	14.2 KB
008 Real Life Examples of Traditional Methods.mp4	28.7 MB
008 Real Life Examples of Traditional Methods_en.srt	4.4 KB
009 Machine Learning (ML) Techniques.mp4	51.8 MB
009 Machine Learning (ML) Techniques_en.srt	11.5 KB
010 Types of Machine Learning.mp4	84.5 MB
010 Types of Machine Learning_en.srt	13.3 KB
011 Real Life Examples of Machine Learning (ML).mp4	29.0 MB
011 Real Life Examples of Machine Learning (ML)_en.srt	3.7 KB
/06 - The Field of Data Science - Popular Data Science Tools/
001 Necessary Programming Languages and Software Used in Data Science.encrypted.m4a.part	0.0 KB
001 Necessary Programming Languages and Software Used in Data Science.encrypted.m4a.part.frag.urls	62.5 KB
001 Necessary Programming Languages and Software Used in Data Science.encrypted.mp4.part	0.0 KB
001 Necessary Programming Languages and Software Used in Data Science.encrypted.mp4.part.frag.urls	62.5 KB
001 Necessary Programming Languages and Software Used in Data Science_en.srt	9.9 KB
/temp/
index_13040208.mpd	42.1 KB
/07 - The Field of Data Science - Careers in Data Science/
001 Finding the Job - What to Expect and What to Look for.mp4	14.5 MB
001 Finding the Job - What to Expect and What to Look for_en.srt	5.7 KB
/08 - The Field of Data Science - Debunking Common Misconceptions/
001 Debunking Common Misconceptions.mp4	61.7 MB
001 Debunking Common Misconceptions_en.srt	6.7 KB
/09 - Part 2 Probability/
001 Course-Notes-Basic-Probability.pdf	380.0 KB
001 The Basic Probability Formula.mp4	30.8 MB
001 The Basic Probability Formula_en.srt	10.9 KB
002 Computing Expected Values.mp4	47.9 MB
002 Computing Expected Values_en.srt	8.5 KB
003 Frequency.mp4	39.2 MB
003 Frequency_en.srt	8.5 KB
004 Events and Their Complements.mp4	27.1 MB
004 Events and Their Complements_en.srt	8.7 KB
/10 - Probability - Combinatorics/
001 Course-Notes-Combinatorics.pdf	231.5 KB
001 Fundamentals of Combinatorics.mp4	6.2 MB
001 Fundamentals of Combinatorics_en.srt	1.8 KB
002 Permutations and How to Use Them.mp4	18.4 MB
002 Permutations and How to Use Them_en.srt	5.4 KB
003 Simple Operations with Factorials.mp4	17.5 MB
003 Simple Operations with Factorials_en.srt	4.2 KB
004 Solving Variations with Repetition.mp4	14.6 MB
004 Solving Variations with Repetition_en.srt	4.6 KB
005 Solving Variations without Repetition.mp4	19.1 MB
005 Solving Variations without Repetition_en.srt	6.1 KB
006 Combinations-With-Repetition.pdf	212.4 KB
006 Solving Combinations.mp4	24.8 MB
006 Solving Combinations_en.srt	7.4 KB
007 Symmetry of Combinations.mp4	14.4 MB
007 Symmetry of Combinations_en.srt	5.5 KB
007 Symmetry-Explained.pdf	87.1 KB
008 Solving Combinations with Separate Sample Spaces.mp4	11.2 MB
008 Solving Combinations with Separate Sample Spaces_en.srt	5.0 KB
009 Combinatorics in Real-Life The Lottery.mp4	17.2 MB
009 Combinatorics in Real-Life The Lottery_en.srt	5.2 KB
010 A Recap of Combinatorics.mp4	15.8 MB
010 A Recap of Combinatorics_en.srt	4.7 KB
011 A Practical Example of Combinatorics.mp4	44.9 MB
011 A Practical Example of Combinatorics_en.srt	19.0 KB
011 Additional-Exercises-Combinatorics-Solutions.pdf	251.6 KB
011 Additional-Exercises-Combinatorics.pdf	109.1 KB
/11 - Probability - Bayesian Inference/
001 Course-Notes-Bayesian-Inference.pdf	395.3 KB
001 Sets and Events.mp4	18.5 MB
001 Sets and Events_en.srt	6.7 KB
002 Ways Sets Can Interact.mp4	20.2 MB
002 Ways Sets Can Interact_en.srt	5.6 KB
003 Intersection of Sets.mp4	11.5 MB
003 Intersection of Sets_en.srt	3.1 KB
004 Union of Sets.mp4	25.4 MB
004 Union of Sets_en.srt	7.6 KB
005 Mutually Exclusive Sets.mp4	11.1 MB
005 Mutually Exclusive Sets_en.srt	3.4 KB
006 Dependence and Independence of Sets.mp4	15.6 MB
006 Dependence and Independence of Sets_en.srt	4.2 KB
007 The Conditional Probability Formula.mp4	17.4 MB
007 The Conditional Probability Formula_en.srt	7.3 KB
008 The Law of Total Probability.mp4	12.1 MB
008 The Law of Total Probability_en.srt	4.9 KB
009 The Additive Rule.mp4	11.6 MB
009 The Additive Rule_en.srt	3.2 KB
010 The Multiplication Law.mp4	21.2 MB
010 The Multiplication Law_en.srt	5.8 KB
011 Bayes' Law.mp4	22.4 MB
011 Bayes' Law_en.srt	9.4 KB
012 A Practical Example of Bayesian Inference.mp4	145.9 MB
012 A Practical Example of Bayesian Inference_en.srt	24.9 KB
012 Bayesian-Homework-Solutions.pdf	31.1 KB
012 Bayesian-Homework.pdf	27.9 KB
012 CDS-2017-2018-Hamilton.pdf	865.6 KB
/12 - Probability - Distributions/
001 Course-Notes-Probability-Distributions.pdf	475.1 KB
001 Fundamentals of Probability Distributions.mp4	20.4 MB
001 Fundamentals of Probability Distributions_en.srt	10.3 KB
002 Types of Probability Distributions.mp4	37.3 MB
002 Types of Probability Distributions_en.srt	12.9 KB
003 Characteristics of Discrete Distributions.mp4	9.9 MB
003 Characteristics of Discrete Distributions_en.srt	3.1 KB
004 Discrete Distributions The Uniform Distribution.mp4	10.8 MB
004 Discrete Distributions The Uniform Distribution_en.srt	3.5 KB
005 Discrete Distributions The Bernoulli Distribution.mp4	15.9 MB
005 Discrete Distributions The Bernoulli Distribution_en.srt	6.6 KB
006 Discrete Distributions The Binomial Distribution.mp4	32.1 MB
006 Discrete Distributions The Binomial Distribution_en.srt	10.8 KB
007 Discrete Distributions The Poisson Distribution.mp4	25.1 MB
007 Discrete Distributions The Poisson Distribution_en.srt	8.9 KB
007 Poisson-Expected-Value-and-Variance.pdf	149.5 KB
008 Characteristics of Continuous Distributions.mp4	37.9 MB
008 Characteristics of Continuous Distributions_en.srt	11.3 KB
008 Solving-Integrals.pdf	352.1 KB
009 Continuous Distributions The Normal Distribution.mp4	21.0 MB
009 Continuous Distributions The Normal Distribution_en.srt	6.2 KB
009 Normal-Distribution-Exp-and-Var.pdf	147.5 KB
010 Continuous Distributions The Standard Normal Distribution.mp4	40.2 MB
010 Continuous Distributions The Standard Normal Distribution_en.srt	7.0 KB
011 Continuous Distributions The Students' T Distribution.mp4	9.7 MB
011 Continuous Distributions The Students' T Distribution_en.srt	3.9 KB
012 Continuous Distributions The Chi-Squared Distribution.mp4	22.0 MB
012 Continuous Distributions The Chi-Squared Distribution_en.srt	3.6 KB
013 Continuous Distributions The Exponential Distribution.mp4	16.8 MB
013 Continuous Distributions The Exponential Distribution_en.srt	5.5 KB
014 Continuous Distributions The Logistic Distribution.mp4	17.0 MB
014 Continuous Distributions The Logistic Distribution_en.srt	6.6 KB
015 A Practical Example of Probability Distributions.mp4	144.8 MB
015 A Practical Example of Probability Distributions_en.srt	26.1 KB
015 Customers-Membership-post.xlsx	16.0 KB
015 Customers-Membership.xlsx	9.9 KB
015 Daily-Views-post.xlsx	20.7 KB
015 Daily-Views.xlsx	9.8 KB
015 FIFA19-post.csv	9.1 MB
015 FIFA19.csv	9.1 MB
/13 - Probability - Probability in Other Fields/
001 Probability in Finance.mp4	42.3 MB
001 Probability in Finance_en.srt	12.5 KB
001 Probability-in-Finance-Homework.pdf	113.3 KB
001 Probability-in-Finance-Solutions.pdf	188.9 KB
002 Probability in Statistics.mp4	33.1 MB
002 Probability in Statistics_en.srt	11.2 KB
003 Probability in Data Science.mp4	59.6 MB
003 Probability in Data Science_en.srt	8.7 KB
003 Probability-Cheat-Sheet.pdf	328.0 KB
/14 - Part 3 Statistics/
001 Course-notes-descriptive-statistics.pdf	493.8 KB
001 Population and Sample.mp4	36.8 MB
001 Population and Sample_en.srt	7.2 KB
001 Statistics-Glossary.xlsx	20.8 KB
/15 - Statistics - Descriptive Statistics/
001 Course-notes-descriptive-statistics.pdf	493.8 KB
001 Glossary.xlsx	20.4 KB
001 Types of Data.mp4	45.3 MB
001 Types of Data_en.srt	7.1 KB
002 Levels of Measurement.mp4	33.7 MB
002 Levels of Measurement_en.srt	5.9 KB
003 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx	31.5 KB
003 Categorical Variables - Visualization Techniques.mp4	38.4 MB
003 Categorical Variables - Visualization Techniques_en.srt	8.2 KB
004 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx	42.1 KB
004 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx	15.6 KB
004 Categorical Variables Exercise.html	0.1 KB
004 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	296.1 KB
005 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx	11.7 KB
005 Numerical Variables - Frequency Distribution Table.mp4	18.5 MB
005 Numerical Variables - Frequency Distribution Table_en.srt	5.4 KB
006 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx	13.5 KB
006 Numerical Variables Exercise.html	0.1 KB
007 2.5.The-Histogram-lesson.xlsx	19.1 KB
007 The Histogram.mp4	10.0 MB
007 The Histogram_en.srt	4.1 KB
008 2.5.The-Histogram-exercise-solution.xlsx	17.5 KB
008 2.5.The-Histogram-exercise.xlsx	15.9 KB
008 Histogram Exercise.html	0.1 KB
008 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	296.1 KB
009 2.6.Cross-table-and-scatter-plot.xlsx	26.7 KB
009 Cross Tables and Scatter Plots.mp4	20.7 MB
009 Cross Tables and Scatter Plots_en.srt	8.5 KB
010 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx	41.4 KB
010 2.6.Cross-table-and-scatter-plot-exercise.xlsx	16.7 KB
010 Cross Tables and Scatter Plots Exercise.html	0.1 KB
011 2.7.Mean-median-and-mode-lesson.xlsx	10.7 KB
011 Mean, median and mode.mp4	25.7 MB
011 Mean, median and mode_en.srt	7.4 KB
012 2.7.Mean-median-and-mode-exercise-solution.xlsx	11.6 KB
012 2.7.Mean-median-and-mode-exercise.xlsx	11.1 KB
012 Mean, Median and Mode Exercise.html	0.1 KB
013 2.8.Skewness-lesson.xlsx	35.5 KB
013 Skewness.mp4	14.0 MB
013 Skewness_en.srt	4.5 KB
014 2.8.Skewness-exercise-solution.xlsx	20.3 KB
014 2.8.Skewness-exercise.xlsx	9.7 KB
014 Skewness Exercise.html	0.1 KB
015 2.9.Variance-lesson.xlsx	10.3 KB
015 Variance.mp4	24.7 MB
015 Variance_en.srt	10.1 KB
016 2.9.Variance-exercise-solution.xlsx	11.3 KB
016 2.9.Variance-exercise.xlsx	11.1 KB
016 Variance Exercise.html	0.5 KB
017 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx	11.2 KB
017 Standard Deviation and Coefficient of Variation.mp4	21.1 MB
017 Standard Deviation and Coefficient of Variation_en.srt	7.8 KB
018 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx	12.9 KB
018 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx	11.9 KB
018 Standard Deviation and Coefficient of Variation Exercise.html	0.1 KB
019 2.11.Covariance-lesson.xlsx	25.5 KB
019 Covariance.mp4	19.3 MB
019 Covariance_en.srt	6.3 KB
020 2.11.Covariance-exercise-solution.xlsx	30.2 KB
020 2.11.Covariance-exercise.xlsx	20.7 KB
020 Covariance Exercise.html	0.1 KB
021 Correlation Coefficient.mp4	20.3 MB
021 Correlation Coefficient_en.srt	6.1 KB
022 2.12.Correlation-exercise-solution.xlsx	30.2 KB
022 2.12.Correlation-exercise.xlsx	30.0 KB
022 Correlation Coefficient Exercise.html	0.1 KB
/16 - Statistics - Practical Example Descriptive Statistics/
001 2.13.Practical-example.Descriptive-statistics-lesson.xlsx	150.0 KB
001 Practical Example Descriptive Statistics.mp4	157.5 MB
001 Practical Example Descriptive Statistics_en.srt	26.0 KB
002 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx	149.9 KB
002 2.13.Practical-example.Descriptive-statistics-exercise.xlsx	123.2 KB
002 Practical Example Descriptive Statistics Exercise.html	0.1 KB
/17 - Statistics - Inferential Statistics Fundamentals/
001 Course-notes-inferential-statistics.pdf	391.5 KB
001 Introduction.mp4	3.2 MB
001 Introduction_en.srt	2.0 KB
002 3.2.What-is-a-distribution-lesson.xlsx	19.9 KB
002 Course-notes-inferential-statistics.pdf	391.5 KB
002 What is a Distribution.mp4	18.0 MB
002 What is a Distribution_en.srt	7.2 KB
003 The Normal Distribution.mp4	28.8 MB
003 The Normal Distribution_en.srt	6.4 KB
004 3.4.Standard-normal-distribution-lesson.xlsx	10.6 KB
004 The Standard Normal Distribution.mp4	9.0 MB
004 The Standard Normal Distribution_en.srt	5.0 KB
005 3.4.Standard-normal-distribution-exercise-solution.xlsx	24.6 KB
005 3.4.Standard-normal-distribution-exercise.xlsx	12.3 KB
005 The Standard Normal Distribution Exercise.html	0.1 KB
006 Central Limit Theorem.mp4	24.3 MB
006 Central Limit Theorem_en.srt	6.8 KB
007 Standard error.mp4	14.2 MB
007 Standard error_en.srt	2.6 KB
008 Estimators and Estimates.mp4	29.0 MB
008 Estimators and Estimates_en.srt	4.9 KB
/18 - Statistics - Inferential Statistics Confidence Intervals/
001 What are Confidence Intervals.mp4	30.0 MB
001 What are Confidence Intervals_en.srt	3.9 KB
002 3.9.Population-variance-known-z-score-lesson.xlsx	11.5 KB
002 3.9.The-z-table.xlsx	26.2 KB
002 Confidence Intervals; Population Variance Known; Z-score.mp4	54.7 MB
002 Confidence Intervals; Population Variance Known; Z-score_en.srt	11.9 KB
003 3.9.Population-variance-known-z-score-exercise-solution.xlsx	11.4 KB
003 3.9.Population-variance-known-z-score-exercise.xlsx	11.1 KB
003 3.9.The-z-table.xlsx	26.2 KB
003 Confidence Intervals; Population Variance Known; Z-score; Exercise.html	0.1 KB
004 Confidence Interval Clarifications.mp4	19.9 MB
004 Confidence Interval Clarifications_en.srt	6.9 KB
005 Student's T Distribution.mp4	14.3 MB
005 Student's T Distribution_en.srt	5.6 KB
006 3.11.Population-variance-unknown-t-score-lesson.xlsx	11.0 KB
006 3.11.The-t-table.xlsx	16.2 KB
006 Confidence Intervals; Population Variance Unknown; T-score.mp4	14.4 MB
006 Confidence Intervals; Population Variance Unknown; T-score_en.srt	6.6 KB
007 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx	11.4 KB
007 3.11.Population-variance-unknown-t-score-exercise.xlsx	10.9 KB
007 3.11.The-t-table.xlsx	16.2 KB
007 Confidence Intervals; Population Variance Unknown; T-score; Exercise.html	0.1 KB
008 Margin of Error.mp4	24.2 MB
008 Margin of Error_en.srt	7.9 KB
009 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx	10.7 KB
009 Confidence intervals. Two means. Dependent samples.mp4	47.2 MB
009 Confidence intervals. Two means. Dependent samples_en.srt	10.4 KB
010 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx	14.6 KB
010 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx	14.1 KB
010 Confidence intervals. Two means. Dependent samples Exercise.html	0.1 KB
011 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx	10.1 KB
011 Confidence intervals. Two means. Independent Samples (Part 1).mp4	12.6 MB
011 Confidence intervals. Two means. Independent Samples (Part 1)_en.srt	7.7 KB
012 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx	10.4 KB
012 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx	10.1 KB
012 Confidence intervals. Two means. Independent Samples (Part 1). Exercise.html	0.1 KB
013 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx	9.7 KB
013 Confidence intervals. Two means. Independent Samples (Part 2).mp4	15.3 MB
013 Confidence intervals. Two means. Independent Samples (Part 2)_en.srt	5.7 KB
014 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx	10.0 KB
014 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx	9.4 KB
014 Confidence intervals. Two means. Independent Samples (Part 2). Exercise.html	0.1 KB
015 Confidence intervals. Two means. Independent Samples (Part 3).mp4	7.2 MB
015 Confidence intervals. Two means. Independent Samples (Part 3)_en.srt	2.5 KB
/19 - Statistics - Practical Example Inferential Statistics/
001 3.17.Practical-example.Confidence-intervals-lesson.xlsx	1.8 MB
001 Practical Example Inferential Statistics.mp4	72.3 MB
001 Practical Example Inferential Statistics_en.srt	17.2 KB
002 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx	1.9 MB
002 3.17.Practical-example.Confidence-intervals-exercise.xlsx	1.8 MB
002 Practical Example Inferential Statistics Exercise.html	0.1 KB
/20 - Statistics - Hypothesis Testing/
001 Course-notes-hypothesis-testing.pdf	672.2 KB
001 Null vs Alternative Hypothesis.mp4	87.6 MB
001 Null vs Alternative Hypothesis_en.srt	8.8 KB
002 Further Reading on Null and Alternative Hypothesis.html	2.3 KB
003 Course-notes-hypothesis-testing.pdf	672.2 KB
003 Rejection Region and Significance Level.mp4	40.6 MB
003 Rejection Region and Significance Level_en.srt	10.6 KB
004 Type I Error and Type II Error.mp4	19.5 MB
004 Type I Error and Type II Error_en.srt	6.7 KB
005 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx	11.2 KB
005 Test for the Mean. Population Variance Known.mp4	38.7 MB
005 Test for the Mean. Population Variance Known_en.srt	10.0 KB
006 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx	11.5 KB
006 4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx	11.3 KB
006 Test for the Mean. Population Variance Known Exercise.html	0.1 KB
007 Online-p-value-calculator.pdf	1.2 MB
007 p-value.mp4	35.4 MB
007 p-value_en.srt	6.4 KB
008 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx	14.9 KB
008 Test for the Mean. Population Variance Unknown.mp4	20.7 MB
008 Test for the Mean. Population Variance Unknown_en.srt	7.3 KB
009 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx	12.9 KB
009 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx	11.6 KB
009 Test for the Mean. Population Variance Unknown Exercise.html	0.1 KB
010 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx	10.0 KB
010 Test for the Mean. Dependent Samples.mp4	34.4 MB
010 Test for the Mean. Dependent Samples_en.srt	8.3 KB
011 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx	14.7 KB
011 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx	13.1 KB
011 Test for the Mean. Dependent Samples Exercise.html	0.1 KB
012 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx	9.9 KB
012 Test for the mean. Independent Samples (Part 1).mp4	16.2 MB
012 Test for the mean. Independent Samples (Part 1)_en.srt	6.7 KB
013 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx	11.5 KB
013 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx	11.0 KB
013 Test for the mean. Independent Samples (Part 1). Exercise.html	0.1 KB
014 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx	9.5 KB
014 Test for the mean. Independent Samples (Part 2).mp4	25.6 MB
014 Test for the mean. Independent Samples (Part 2)_en.srt	6.6 KB
015 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx	11.7 KB
015 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx	10.8 KB
015 Test for the mean. Independent Samples (Part 2). Exercise.html	0.1 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/21 - Statistics - Practical Example Hypothesis Testing/
001 4.10.Hypothesis-testing-section-practical-example.xlsx	53.1 KB
001 Practical Example Hypothesis Testing.mp4	48.0 MB
001 Practical Example Hypothesis Testing_en.srt	10.6 KB
002 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx	45.3 KB
002 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx	44.7 KB
002 Practical Example Hypothesis Testing Exercise.html	0.1 KB
/22 - Part 4 Introduction to Python/
001 Introduction to Programming.mp4	15.5 MB
001 Introduction to Programming_en.srt	8.9 KB
001 Introduction-to-Python-Course-Notes.pdf	2.3 MB
002 Why Python.mp4	12.6 MB
002 Why Python_en.srt	8.8 KB
003 Why Jupyter.mp4	8.5 MB
003 Why Jupyter_en.srt	6.1 KB
004 Installing Python and Jupyter.mp4	34.4 MB
004 Installing Python and Jupyter_en.srt	11.4 KB
005 Understanding Jupyter's Interface - the Notebook Dashboard.mp4	6.4 MB
005 Understanding Jupyter's Interface - the Notebook Dashboard_en.srt	4.5 KB
006 Prerequisites for Coding in the Jupyter Notebooks.mp4	19.9 MB
006 Prerequisites for Coding in the Jupyter Notebooks_en.srt	9.7 KB
/23 - Python - Variables and Data Types/
001 Introduction-to-Python-Course-Notes.pdf	2.3 MB
001 Variables-Exercise-Py3.ipynb	2.3 KB
001 Variables-Lecture-Py3.ipynb	3.7 KB
001 Variables-Solution-Py3.ipynb	3.9 KB
001 Variables.mp4	9.4 MB
001 Variables_en.srt	5.9 KB
002 Numbers and Boolean Values in Python.mp4	14.4 MB
002 Numbers and Boolean Values in Python_en.srt	4.7 KB
002 Numbers-and-Boolean-Values-Exercise-Py3.ipynb	2.3 KB
002 Numbers-and-Boolean-Values-Lecture-Py3.ipynb	3.4 KB
003 Python Strings.mp4	16.4 MB
003 Python Strings_en.srt	9.5 KB
003 Strings-Exercise-Py3.ipynb	2.7 KB
003 Strings-Lecture-Py3.ipynb	7.7 KB
003 Strings-Solution-Py3.ipynb	5.6 KB
/24 - Python - Basic Python Syntax/
001 Arithmetic-Operators-Exercise-Py3.ipynb	2.7 KB
001 Arithmetic-Operators-Lecture-Py3.ipynb	3.6 KB
001 Arithmetic-Operators-Solution-Py3.ipynb	4.3 KB
001 Using Arithmetic Operators in Python.mp4	9.1 MB
001 Using Arithmetic Operators in Python_en.srt	5.4 KB
002 The Double Equality Sign.mp4	2.8 MB
002 The Double Equality Sign_en.srt	2.3 KB
002 The-Double-Equality-Sign-Exercise-Py3.ipynb	0.8 KB
002 The-Double-Equality-Sign-Lecture-Py3.ipynb	1.5 KB
002 The-Double-Equality-Sign-Solution-Py3.ipynb	1.2 KB
003 How to Reassign Values.mp4	2.0 MB
003 How to Reassign Values_en.srt	1.6 KB
003 Reassign-Values-Exercise-Py3.ipynb	1.7 KB
003 Reassign-Values-Lecture-Py3.ipynb	3.2 KB
003 Reassign-Values-Solution-Py3.ipynb	2.2 KB
004 Add Comments.mp4	2.5 MB
004 Add Comments_en.srt	2.4 KB
004 Add-Comments-Lecture-Py3.ipynb	1.1 KB
005 Line-Continuation-Exercise-Py3.ipynb	1.2 KB
005 Line-Continuation-Lecture-Py3.ipynb	0.8 KB
005 Line-Continuation-Solution-Py3.ipynb	1.5 KB
005 Understanding Line Continuation.mp4	1.3 MB
005 Understanding Line Continuation_en.srt	1.4 KB
006 Indexing Elements.mp4	2.5 MB
006 Indexing Elements_en.srt	2.0 KB
006 Indexing-Elements-Exercise-Py3.ipynb	1.4 KB
006 Indexing-Elements-Lecture-Py3.ipynb	1.3 KB
006 Indexing-Elements-Solution-Py3.ipynb	2.2 KB
007 Structure-Your-Code-with-Indentation-Exercise-Py3.ipynb	1.0 KB
007 Structure-Your-Code-with-Indentation-Lecture-Py3.ipynb	1.0 KB
007 Structure-Your-Code-with-Indentation-Solution-Py3.ipynb	1.5 KB
007 Structuring with Indentation.mp4	2.9 MB
007 Structuring with Indentation_en.srt	2.8 KB
/25 - Python - Other Python Operators/
001 Comparison Operators.mp4	5.1 MB
001 Comparison Operators_en.srt	3.2 KB
001 Comparison-Operators-Exercise-Py3.ipynb	1.6 KB
001 Comparison-Operators-Lecture-Py3.ipynb	2.6 KB
001 Comparison-Operators-Solution-Py3.ipynb	2.5 KB
002 Logical and Identity Operators.mp4	19.9 MB
002 Logical and Identity Operators_en.srt	7.4 KB
002 Logical-and-Identity-Operators-Lecture-Py3.ipynb	6.0 KB
002 Logical-and-Identity-Operators-Solution-Py3.ipynb	3.5 KB
/26 - Python - Conditional Statements/
001 Introduction-to-the-If-Statement-Exercise-Py3.ipynb	1.6 KB
001 Introduction-to-the-If-Statement-Lecture-Py3.ipynb	1.2 KB
001 Introduction-to-the-If-Statement-Solution-Py3.ipynb	2.2 KB
001 The IF Statement.mp4	6.4 MB
001 The IF Statement_en.srt	4.6 KB
002 Add-an-Else-Statement-Exercise-Py3.ipynb	1.0 KB
002 Add-an-Else-Statement-Lecture-Py3.ipynb	1.8 KB
002 Add-an-Else-Statement-Solution-Py3.ipynb	1.4 KB
002 The ELSE Statement.mp4	6.3 MB
002 The ELSE Statement_en.srt	4.0 KB
003 Else-If-for-Brief-Elif-Exercise-Py3.ipynb	1.8 KB
003 Else-If-for-Brief-Elif-Lecture-Py3.ipynb	3.3 KB
003 Else-If-for-Brief-Elif-Solution-Py3.ipynb	2.5 KB
003 The ELIF Statement.mp4	14.9 MB
003 The ELIF Statement_en.srt	8.4 KB
004 A Note on Boolean Values.mp4	4.4 MB
004 A Note on Boolean Values_en.srt	3.8 KB
004 A-Note-on-Boolean-Values-Lecture-Py3.ipynb	0.8 KB
/27 - Python - Python Functions/
001 Defining a Function in Python.mp4	3.4 MB
001 Defining a Function in Python_en.srt	3.2 KB
001 Defining-a-Function-in-Python-Lecture-Py3.ipynb	0.9 KB
002 Creating-a-Function-with-a-Parameter-Exercise-Py3.ipynb	1.2 KB
002 Creating-a-Function-with-a-Parameter-Lecture-Py3.ipynb	1.6 KB
002 Creating-a-Function-with-a-Parameter-Solution-Py3.ipynb	1.8 KB
002 How to Create a Function with a Parameter.mp4	8.7 MB
002 How to Create a Function with a Parameter_en.srt	5.6 KB
003 Another-Way-to-Define-a-Function-Exercise-Py3.ipynb	1.3 KB
003 Another-Way-to-Define-a-Function-Lecture-Py3.ipynb	3.4 KB
003 Another-Way-to-Define-a-Function-Solution-Py3.ipynb	2.0 KB
003 Defining a Function in Python - Part II.mp4	6.8 MB
003 Defining a Function in Python - Part II_en.srt	3.8 KB
004 0.6.4-Using-a-Function-in-another-Function-Exercise-Py3.ipynb	1.1 KB
004 0.6.4-Using-a-Function-in-another-Function-Lecture-Py3.ipynb	1.0 KB
004 0.6.4-Using-a-Function-in-another-Function-Solution-Py3.ipynb	1.6 KB
004 How to Use a Function within a Function.mp4	3.4 MB
004 How to Use a Function within a Function_en.srt	2.6 KB
005 Combining-Conditional-Statements-and-Functions-Exercise-Py3.ipynb	1.1 KB
005 Combining-Conditional-Statements-and-Functions-Lecture-Py3.ipynb	1.3 KB
005 Combining-Conditional-Statements-and-Functions-Solution-Py3.ipynb	1.7 KB
005 Conditional Statements and Functions.mp4	6.3 MB
005 Conditional Statements and Functions_en.srt	4.4 KB
006 Creating-Functions-Containing-a-Few-Arguments-Lecture-Py3.ipynb	1.8 KB
006 Functions Containing a Few Arguments.mp4	3.0 MB
006 Functions Containing a Few Arguments_en.srt	1.8 KB
007 Built-in Functions in Python.mp4	10.7 MB
007 Built-in Functions in Python_en.srt	5.3 KB
007 Notable-Built-In-Functions-in-Python-Exercise-Py3.ipynb	3.7 KB
007 Notable-Built-In-Functions-in-Python-Lecture-Py3.ipynb	4.6 KB
007 Notable-Built-In-Functions-in-Python-Solution-Py3.ipynb	5.7 KB
/28 - Python - Sequences/
001 Lists-Exercise-Py3.ipynb	2.2 KB
001 Lists-Lecture-Py3.ipynb	2.8 KB
001 Lists-Solution-Py3.ipynb	3.3 KB
001 Lists.mp4	24.2 MB
001 Lists_en.srt	12.8 KB
002 Help-Yourself-with-Methods-Exercise-Py3.ipynb	2.0 KB
002 Help-Yourself-with-Methods-Lecture-Py3.ipynb	4.5 KB
002 Help-Yourself-with-Methods-Solution-Py3.ipynb	2.9 KB
002 Using Methods.mp4	31.8 MB
002 Using Methods_en.srt	10.8 KB
003 List Slicing.mp4	20.1 MB
003 List Slicing_en.srt	6.8 KB
003 List-Slicing-Exercise-Py3.ipynb	2.9 KB
003 List-Slicing-Lecture-Py3.ipynb	5.1 KB
003 List-Slicing-Solution-Py3.ipynb	4.4 KB
004 Tuples-Exercise-Py3.ipynb	2.1 KB
004 Tuples-Lecture-Py3.ipynb	3.0 KB
004 Tuples-Solution-Py3.ipynb	4.7 KB
004 Tuples.mp4	19.1 MB
004 Tuples_en.srt	9.2 KB
005 Dictionaries-Exercise-Py3.ipynb	3.0 KB
005 Dictionaries-Lecture-Py3.ipynb	4.5 KB
005 Dictionaries-Solution-Py3.ipynb	6.3 KB
005 Dictionaries.mp4	34.0 MB
005 Dictionaries_en.srt	11.0 KB
/29 - Python - Iterations/
001 For Loops.mp4	24.7 MB
001 For Loops_en.srt	8.3 KB
001 For-Loops-Exercise-Py3.ipynb	1.3 KB
001 For-Loops-Lecture-Py3.ipynb	1.3 KB
001 For-Loops-Solution-Py3.ipynb	1.8 KB
002 While Loops and Incrementing.mp4	21.2 MB
002 While Loops and Incrementing_en.srt	7.5 KB
002 While-Loops-and-Incrementing-Exercise-Py3.ipynb	1.1 KB
002 While-Loops-and-Incrementing-Lecture-Py3.ipynb	1.1 KB
002 While-Loops-and-Incrementing-Solution-Py3.ipynb	1.8 KB
003 Create-Lists-with-the-range-Function-Exercise-Py3.ipynb	1.5 KB
003 Create-Lists-with-the-range-Function-Lecture-Py3.ipynb	1.4 KB
003 Create-Lists-with-the-range-Function-Solution-Py3.ipynb	2.3 KB
003 Lists with the range() Function.mp4	12.5 MB
003 Lists with the range() Function_en.srt	10.6 KB
004 Conditional Statements and Loops.mp4	23.0 MB
004 Conditional Statements and Loops_en.srt	9.8 KB
004 Use-Conditional-Statements-and-Loops-Together-Exercise-Py3.ipynb	2.1 KB
004 Use-Conditional-Statements-and-Loops-Together-Lecture-Py3.ipynb	2.0 KB
004 Use-Conditional-Statements-and-Loops-Together-Solution-Py3.ipynb	3.0 KB
005 All-In-Exercise-Py3.ipynb	1.3 KB
005 All-In-Lecture-Py3.ipynb	1.7 KB
005 All-In-Solution-Py3.ipynb	1.9 KB
005 Conditional Statements, Functions, and Loops.mp4	4.5 MB
005 Conditional Statements, Functions, and Loops_en.srt	3.0 KB
006 How to Iterate over Dictionaries.mp4	17.2 MB
006 How to Iterate over Dictionaries_en.srt	9.6 KB
006 Iterating-over-Dictionaries-Exercise-Py3.ipynb	2.2 KB
006 Iterating-over-Dictionaries-Lecture-Py3.ipynb	1.1 KB
006 Iterating-over-Dictionaries-Solution-Py3.ipynb	2.9 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/30 - Python - Advanced Python Tools/
001 Object Oriented Programming.mp4	9.1 MB
001 Object Oriented Programming_en.srt	8.6 KB
002 Modules and Packages.mp4	2.2 MB
002 Modules and Packages_en.srt	1.8 KB
003 What is the Standard Library.mp4	5.3 MB
003 What is the Standard Library_en.srt	4.7 KB
004 Importing Modules in Python.mp4	9.0 MB
004 Importing Modules in Python_en.srt	6.0 KB
/31 - Part 5 Advanced Statistical Methods in Python/
001 Course-notes-regression-analysis.pdf	319.7 KB
001 Introduction to Regression Analysis.mp4	3.8 MB
001 Introduction to Regression Analysis_en.srt	2.8 KB
/32 - Advanced Statistical Methods - Linear Regression with StatsModels/
001 Course-notes-regression-analysis.pdf	319.7 KB
001 The Linear Regression Model.mp4	14.1 MB
001 The Linear Regression Model_en.srt	10.3 KB
002 Correlation vs Regression.mp4	4.0 MB
002 Correlation vs Regression_en.srt	2.7 KB
003 Geometrical Representation of the Linear Regression Model_en.srt	2.1 KB
004 Python Packages Installation.mp4	24.8 MB
004 Python Packages Installation_en.srt	6.8 KB
005 1.01.Simple-linear-regression.csv	0.9 KB
005 First Regression in Python.mp4	31.1 MB
005 First Regression in Python_en.srt	10.2 KB
005 Simple-linear-regression-with-comments.ipynb	4.2 KB
005 Simple-linear-regression.ipynb	3.9 KB
006 First Regression in Python Exercise.html	1.3 KB
006 Simple-Linear-Regression-Exercise-Solution.ipynb	3.7 KB
006 Simple-Linear-Regression-Exercise.ipynb	2.8 KB
006 real-estate-price-size.csv	1.9 KB
007 Using Seaborn for Graphs.mp4	7.7 MB
007 Using Seaborn for Graphs_en.srt	1.9 KB
008 How to Interpret the Regression Table.mp4	30.1 MB
008 How to Interpret the Regression Table_en.srt	7.8 KB
009 Decomposition of Variability.mp4	9.2 MB
009 Decomposition of Variability_en.srt	5.5 KB
010 What is the OLS.mp4	23.6 MB
010 What is the OLS_en.srt	4.7 KB
011 R-Squared.mp4	11.7 MB
011 R-Squared_en.srt	8.3 KB
/temp/
index_13060600.mpd	60.3 KB
/33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/
001 Multiple Linear Regression.mp4	6.0 MB
001 Multiple Linear Regression_en.srt	4.2 KB
002 1.02.Multiple-linear-regression.csv	1.1 KB
002 Adjusted R-Squared.mp4	35.9 MB
002 Adjusted R-Squared_en.srt	9.2 KB
002 Multiple-linear-regression-and-Adjusted-R-squared-with-comments.ipynb	2.9 KB
002 Multiple-linear-regression-and-Adjusted-R-squared.ipynb	2.2 KB
003 Multiple Linear Regression Exercise.html	0.1 KB
003 Multiple-Linear-Regression-Exercise-Solution.ipynb	13.7 KB
003 Multiple-Linear-Regression-Exercise.ipynb	2.5 KB
003 real-estate-price-size-year.csv	2.4 KB
004 Test for Significance of the Model (F-Test).mp4	7.5 MB
004 Test for Significance of the Model (F-Test)_en.srt	3.0 KB
005 OLS Assumptions.mp4	5.5 MB
005 OLS Assumptions_en.srt	3.7 KB
006 A1 Linearity.mp4	3.7 MB
006 A1 Linearity_en.srt	3.1 KB
007 A2 No Endogeneity.mp4	9.7 MB
007 A2 No Endogeneity_en.srt	6.9 KB
008 A3 Normality and Homoscedasticity.mp4	28.7 MB
008 A3 Normality and Homoscedasticity_en.srt	8.7 KB
009 A4 No Autocorrelation.mp4	8.3 MB
009 A4 No Autocorrelation_en.srt	6.1 KB
010 A5 No Multicollinearity.mp4	8.0 MB
010 A5 No Multicollinearity_en.srt	5.6 KB
011 1.03.Dummies.csv	1.2 KB
011 Dealing with Categorical Data - Dummy Variables_en.srt	12.3 KB
011 Dummy-Variables.ipynb	4.7 KB
011 Dummy-variables-with-comments.ipynb	7.3 KB
012 Dealing with Categorical Data - Dummy Variables.html	0.1 KB
012 Multiple-Linear-Regression-with-Dummies-Exercise-Solution.ipynb	18.4 KB
012 Multiple-Linear-Regression-with-Dummies-Exercise.ipynb	3.1 KB
012 real-estate-price-size-year-view.csv	3.5 KB
013 Making Predictions with the Linear Regression.encrypted.m4a.part	0.0 KB
013 Making Predictions with the Linear Regression.encrypted.m4a.part.frag.urls	36.7 KB
013 Making Predictions with the Linear Regression.encrypted.mp4.part	0.0 KB
013 Making Predictions with the Linear Regression.encrypted.mp4.part.frag.urls	36.8 KB
013 Making Predictions with the Linear Regression_en.srt	5.4 KB
013 Making-predictions-with-comments.ipynb	9.6 KB
013 Making-predictions.ipynb	5.9 KB
/temp/
index_13060526.mpd	56.0 KB
index_17572166.mpd	38.7 KB
/34 - Advanced Statistical Methods - Linear Regression with sklearn/
001 What is sklearn and How is it Different from Other Packages.encrypted.m4a.part	0.0 KB
001 What is sklearn and How is it Different from Other Packages.encrypted.m4a.part.frag.urls	24.8 KB
001 What is sklearn and How is it Different from Other Packages.encrypted.mp4.part	0.0 KB
001 What is sklearn and How is it Different from Other Packages.encrypted.mp4.part.frag.urls	24.8 KB
001 What is sklearn and How is it Different from Other Packages_en.srt	4.5 KB
002 How are we Going to Approach this Section.mp4	5.5 MB
002 How are we Going to Approach this Section_en.srt	3.7 KB
003 1.01.Simple-linear-regression.csv	0.9 KB
003 Simple Linear Regression with sklearn.mp4	33.2 MB
003 Simple Linear Regression with sklearn_en.srt	9.3 KB
003 sklearn-Simple-Linear-Regression-with-comments.ipynb	6.2 KB
003 sklearn-Simple-Linear-Regression.ipynb	5.0 KB
004 1.01.Simple-linear-regression.csv	0.9 KB
004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4	30.3 MB
004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table_en.srt	8.3 KB
004 sklearn-Simple-Linear-Regression-with-comments.ipynb	29.0 KB
004 sklearn-Simple-Linear-Regression.ipynb	26.7 KB
005 A Note on Normalization.html	0.7 KB
006 Simple Linear Regression with sklearn - Exercise.html	0.1 KB
006 Simple-Linear-Regression-with-sklearn-Exercise-Solution.ipynb	27.2 KB
006 Simple-Linear-Regression-with-sklearn-Exercise.ipynb	4.2 KB
006 real-estate-price-size.csv	1.9 KB
007 1.02.Multiple-linear-regression.csv	1.1 KB
007 Multiple Linear Regression with sklearn.mp4	11.5 MB
007 Multiple Linear Regression with sklearn_en.srt	5.2 KB
007 sklearn-Multiple-Linear-Regression-with-comments.ipynb	8.9 KB
007 sklearn-Multiple-Linear-Regression.ipynb	8.0 KB
008 1.02.Multiple-linear-regression.csv	1.1 KB
008 Calculating the Adjusted R-Squared in sklearn.mp4	22.8 MB
008 Calculating the Adjusted R-Squared in sklearn_en.srt	8.2 KB
008 sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-with-comments.ipynb	10.7 KB
008 sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared.ipynb	9.3 KB
009 1.02.Multiple-linear-regression.csv	1.1 KB
009 Calculating the Adjusted R-Squared in sklearn - Exercise.html	0.1 KB
009 sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise-Solution.ipynb	10.6 KB
009 sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise.ipynb	10.1 KB
010 1.02.Multiple-linear-regression.csv	1.1 KB
010 Feature Selection (F-regression).mp4	21.5 MB
010 Feature Selection (F-regression)_en.srt	8.6 KB
010 sklearn-Feature-Selection-with-F-regression-with-comments.ipynb	13.3 KB
010 sklearn-Feature-Selection-with-F-regression.ipynb	10.7 KB
011 1.02.Multiple-linear-regression.csv	1.1 KB
011 A Note on Calculation of P-values with sklearn.html	0.4 KB
011 sklearn-How-to-properly-include-p-values.ipynb	13.0 KB
012 1.02.Multiple-linear-regression.csv	1.1 KB
012 Creating a Summary Table with P-values.mp4	6.8 MB
012 Creating a Summary Table with P-values_en.srt	3.8 KB
012 sklearn-Multiple-Linear-Regression-Summary-Table-with-comments.ipynb	17.0 KB
012 sklearn-Multiple-Linear-Regression-Summary-Table.ipynb	14.0 KB
013 Multiple Linear Regression - Exercise.html	0.1 KB
013 real-estate-price-size-year.csv	2.4 KB
013 sklearn-Multiple-Linear-Regression-Exercise-Solution.ipynb	15.8 KB
013 sklearn-Multiple-Linear-Regression-Exercise.ipynb	5.8 KB
014 1.02.Multiple-linear-regression.csv	1.1 KB
014 Feature Scaling (Standardization).mp4	21.3 MB
014 Feature Scaling (Standardization)_en.srt	11.3 KB
014 SKLEAR-1.IPY	13.2 KB
014 sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-1.ipynb	12.0 KB
015 1.02.Multiple-linear-regression.csv	1.1 KB
015 Feature Selection through Standardization of Weights.mp4	25.6 MB
015 Feature Selection through Standardization of Weights_en.srt	9.5 KB
015 SKLEAR-1.IPY	17.2 KB
015 sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-2.ipynb	15.3 KB
016 1.02.Multiple-linear-regression.csv	1.1 KB
016 Predicting with the Standardized Coefficients.mp4	21.4 MB
016 Predicting with the Standardized Coefficients_en.srt	6.8 KB
016 sklearn-Making-Predictions-with-the-Standardized-Coefficients-with-comments.ipynb	22.6 KB
016 sklearn-Making-Predictions-with-the-Standardized-Coefficients.ipynb	30.5 KB
017 Feature Scaling (Standardization) - Exercise.html	0.1 KB
017 real-estate-price-size-year.csv	2.4 KB
017 sklearn-Feature-Scaling-Exercise-Solution.ipynb	16.7 KB
017 sklearn-Feature-Scaling-Exercise.ipynb	6.2 KB
018 Underfitting and Overfitting.mp4	6.1 MB
018 Underfitting and Overfitting_en.srt	4.6 KB
019 Train - Test Split Explained.mp4	37.3 MB
019 Train - Test Split Explained_en.srt	12.0 KB
019 sklearn-Train-Test-Split-with-comments.ipynb	9.3 KB
019 sklearn-Train-Test-Split.ipynb	7.4 KB
/temp/
index_17596538.mpd	32.0 KB
/35 - Advanced Statistical Methods - Practical Example Linear Regression/
001 1.04.Real-life-example.csv	225.1 KB
001 Practical Example Linear Regression (Part 1).mp4	88.8 MB
001 Practical Example Linear Regression (Part 1)_en.srt	18.4 KB
001 sklearn-Linear-Regression-Practical-Example-Part-1-with-comments.ipynb	175.5 KB
001 sklearn-Linear-Regression-Practical-Example-Part-1.ipynb	170.9 KB
002 1.04.Real-life-example.csv	225.1 KB
002 Practical Example Linear Regression (Part 2).mp4	33.4 MB
002 Practical Example Linear Regression (Part 2)_en.srt	10.2 KB
002 sklearn-Linear-Regression-Practical-Example-Part-2-with-comments.ipynb	343.7 KB
002 sklearn-Linear-Regression-Practical-Example-Part-2.ipynb	336.6 KB
003 A Note on Multicollinearity.html	0.8 KB
004 Practical Example Linear Regression (Part 3).mp4	17.5 MB
004 Practical Example Linear Regression (Part 3)_en.srt	5.5 KB
004 sklearn-Linear-Regression-Practical-Example-Part-3-.url	0.1 KB
004 sklearn-Linear-Regression-Practical-Example-Part-3-with-comments.ipynb	359.9 KB
004 sklearn-Linear-Regression-Practical-Example-Part-3.ipynb	351.8 KB
005 1.04.Real-life-example.csv	225.1 KB
005 Dummies and Variance Inflation Factor - Exercise.html	0.1 KB
005 sklearn-Dummies-and-VIF-Exercise-Solution.ipynb	379.1 KB
005 sklearn-Dummies-and-VIF-Exercise.ipynb	352.9 KB
006 1.04.Real-life-example.csv	225.1 KB
006 Practical Example Linear Regression (Part 4).mp4	41.3 MB
006 Practical Example Linear Regression (Part 4)_en.srt	14.6 KB
006 sklearn-Linear-Regression-Practical-Example-Part-4-with-comments.ipynb	417.4 KB
006 sklearn-Linear-Regression-Practical-Example-Part-4.ipynb	406.8 KB
007 Dummy Variables - Exercise.html	0.7 KB
008 1.04.Real-life-example.csv	225.1 KB
008 Practical Example Linear Regression (Part 5).mp4	52.9 MB
008 Practical Example Linear Regression (Part 5)_en.srt	13.7 KB
008 sklearn-Linear-Regression-Practical-Example-Part-5-with-comments.ipynb	728.1 KB
008 sklearn-Linear-Regression-Practical-Example-Part-5.ipynb	715.1 KB
009 Linear Regression - Exercise.html	0.5 KB
external-links.txt	0.1 KB
/36 - Advanced Statistical Methods - Logistic Regression/
001 Course-Notes-Logistic-Regression.pdf	343.2 KB
001 Introduction to Logistic Regression.mp4	6.2 MB
001 Introduction to Logistic Regression_en.srt	2.2 KB
002 2.01.Admittance.csv	1.6 KB
002 A Simple Example in Python.mp4	23.0 MB
002 A Simple Example in Python_en.srt	7.2 KB
002 Admittance-with-comments.ipynb	5.4 KB
002 Admittance.ipynb	3.6 KB
002 Course-Notes-Logistic-Regression.pdf	343.2 KB
003 Logistic vs Logit Function.mp4	24.9 MB
003 Logistic vs Logit Function_en.srt	6.2 KB
004 Admittance-regression-summary-error.ipynb	2.5 KB
004 Admittance-regression-tables-fixed-error.ipynb	4.2 KB
004 Admittance-regression.ipynb	2.1 KB
004 Building a Logistic Regression.mp4	9.0 MB
004 Building a Logistic Regression_en.srt	4.3 KB
005 Building a Logistic Regression - Exercise.html	0.1 KB
005 Building-a-Logistic-Regression-Exercise.ipynb	3.0 KB
005 Building-a-Logistic-Regression-Solution.ipynb	4.6 KB
005 Example-bank-data.csv	6.4 KB
006 An Invaluable Coding Tip.mp4	19.7 MB
006 An Invaluable Coding Tip_en.srt	3.8 KB
007 Understanding Logistic Regression Tables.mp4	15.3 MB
007 Understanding Logistic Regression Tables_en.srt	6.9 KB
008 Bank-data.csv	20.0 KB
008 Understanding Logistic Regression Tables - Exercise.html	0.1 KB
008 Understanding-Logistic-Regression-Tables-Exercise.ipynb	3.2 KB
008 Understanding-Logistic-Regression-Tables-Solution.ipynb	4.9 KB
009 What do the Odds Actually Mean.mp4	11.9 MB
009 What do the Odds Actually Mean_en.srt	5.4 KB
010 2.02.Binary-predictors.csv	2.6 KB
010 Binary Predictors in a Logistic Regression.mp4	26.0 MB
010 Binary Predictors in a Logistic Regression_en.srt	6.4 KB
010 Binary-predictors.ipynb	2.5 KB
011 Bank-data.csv	20.0 KB
011 Binary Predictors in a Logistic Regression - Exercise.html	0.1 KB
011 Binary-Predictors-in-a-Logistic-Regression-Exercise.ipynb	2.6 KB
011 Binary-Predictors-in-a-Logistic-Regression-Solution.ipynb	4.6 KB
012 Accuracy-with-comments.ipynb	12.0 KB
012 Accuracy.ipynb	3.7 KB
012 Calculating the Accuracy of the Model.mp4	21.3 MB
012 Calculating the Accuracy of the Model_en.srt	5.2 KB
013 Bank-data.csv	20.0 KB
013 Calculating the Accuracy of the Model.html	0.1 KB
013 Calculating-the-Accuracy-of-the-Model-Exercise.ipynb	5.5 KB
013 Calculating-the-Accuracy-of-the-Model-Solution.ipynb	83.2 KB
014 Underfitting and Overfitting.mp4	7.9 MB
014 Underfitting and Overfitting_en.srt	6.3 KB
015 2.03.Test-dataset.csv	0.3 KB
015 Testing the Model.mp4	22.6 MB
015 Testing the Model_en.srt	8.0 KB
015 Testing-the-model-with-comments.ipynb	7.7 KB
015 Testing-the-model.ipynb	5.9 KB
016 Bank-data-testing.csv	8.5 KB
016 Bank-data.csv	20.0 KB
016 Testing the Model - Exercise.html	0.1 KB
016 Testing-the-Model-Exercise.ipynb	7.0 KB
016 Testing-the-Model-Solution.ipynb	113.8 KB
/37 - Advanced Statistical Methods - Cluster Analysis/
001 Course-Notes-Cluster-Analysis.pdf	213.7 KB
001 Introduction to Cluster Analysis.mp4	15.2 MB
001 Introduction to Cluster Analysis_en.srt	6.1 KB
002 Course-Notes-Cluster-Analysis.pdf	213.7 KB
002 Some Examples of Clusters.mp4	37.6 MB
002 Some Examples of Clusters_en.srt	7.7 KB
003 Difference between Classification and Clustering.mp4	10.1 MB
003 Difference between Classification and Clustering_en.srt	4.5 KB
004 Math Prerequisites.mp4	5.5 MB
004 Math Prerequisites_en.srt	5.5 KB
/38 - Advanced Statistical Methods - K-Means Clustering/
001 K-Means Clustering.mp4	11.3 MB
001 K-Means Clustering_en.srt	8.1 KB
002 3.01.Country-clusters.csv	0.2 KB
002 A Simple Example of Clustering.mp4	35.9 MB
002 A Simple Example of Clustering_en.srt	12.1 KB
002 Country-clusters-with-comments.ipynb	5.9 KB
002 Country-clusters.ipynb	3.4 KB
003 A Simple Example of Clustering - Exercise.html	0.1 KB
003 A-Simple-Example-of-Clustering-Exercise.ipynb	3.7 KB
003 A-Simple-Example-of-Clustering-Solution.ipynb	4.8 KB
003 Countries-exercise.csv	8.5 KB
004 Categorical-data-with-comments.ipynb	5.8 KB
004 Categorical-data.ipynb	3.4 KB
004 Clustering Categorical Data.mp4	10.9 MB
004 Clustering Categorical Data_en.srt	4.1 KB
005 Categorical.csv	10.6 KB
005 Clustering Categorical Data - Exercise.html	0.1 KB
005 Clustering-Categorical-Data-Exercise.ipynb	3.9 KB
005 Clustering-Categorical-Data-Solution.ipynb	5.0 KB
006 How to Choose the Number of Clusters.mp4	28.2 MB
006 How to Choose the Number of Clusters_en.srt	9.3 KB
006 Selecting-the-number-of-clusters-with-comments.ipynb	7.7 KB
006 Selecting-the-number-of-clusters.ipynb	4.6 KB
007 Countries-exercise.csv	8.5 KB
007 How to Choose the Number of Clusters - Exercise.html	0.1 KB
007 How-to-Choose-the-Number-of-Clusters-Exercise.ipynb	5.7 KB
007 How-to-Choose-the-Number-of-Clusters-Solution.ipynb	8.7 KB
008 Pros and Cons of K-Means Clustering.mp4	11.7 MB
008 Pros and Cons of K-Means Clustering_en.srt	5.6 KB
009 To Standardize or not to Standardize.mp4	11.5 MB
009 To Standardize or not to Standardize_en.srt	7.7 KB
010 Relationship between Clustering and Regression.mp4	3.7 MB
010 Relationship between Clustering and Regression_en.srt	2.8 KB
011 3.12.Example.csv	0.3 KB
011 Market Segmentation with Cluster Analysis (Part 1).mp4	29.5 MB
011 Market Segmentation with Cluster Analysis (Part 1)_en.srt	9.3 KB
011 Market-segmentation-example-with-comments.ipynb	6.0 KB
011 Market-segmentation-example.ipynb	3.9 KB
012 Market Segmentation with Cluster Analysis (Part 2).mp4	35.7 MB
012 Market Segmentation with Cluster Analysis (Part 2)_en.srt	11.2 KB
012 Market-segmentation-example-Part2-with-comments.ipynb	7.0 KB
012 Market-segmentation-example-Part2.ipynb	4.8 KB
013 How is Clustering Useful.mp4	39.3 MB
013 How is Clustering Useful_en.srt	8.3 KB
014 EXERCISE Species Segmentation with Cluster Analysis (Part 1).html	0.1 KB
014 Species-Segmentation-with-Cluster-Analysis-Part-1-Exercise.ipynb	4.6 KB
014 Species-Segmentation-with-Cluster-Analysis-Part-1-Solution.ipynb	7.5 KB
014 iris-dataset.csv	2.5 KB
015 EXERCISE Species Segmentation with Cluster Analysis (Part 2).html	0.1 KB
015 Species-Segmentation-with-Cluster-Analysis-Part-2-Exercise.ipynb	11.0 KB
015 Species-Segmentation-with-Cluster-Analysis-Part-2-Solution.ipynb	15.7 KB
015 iris-dataset.csv	2.5 KB
015 iris-with-answers.csv	3.7 KB
/39 - Advanced Statistical Methods - Other Types of Clustering/
001 Types of Clustering.mp4	9.4 MB
001 Types of Clustering_en.srt	6.2 KB
002 Dendrogram.mp4	19.2 MB
002 Dendrogram_en.srt	9.3 KB
003 Country-clusters-standardized.csv	0.2 KB
003 Heatmaps-with-comments.ipynb	18.1 KB
003 Heatmaps.ipynb	1.9 KB
003 Heatmaps.mp4	27.0 MB
003 Heatmaps_en.srt	7.6 KB
/40 - Part 6 Mathematics/
001 What is a Matrix.mp4	12.5 MB
001 What is a Matrix_en.srt	5.7 KB
002 Scalars and Vectors.mp4	8.9 MB
002 Scalars and Vectors_en.srt	5.0 KB
003 Linear Algebra and Geometry.mp4	14.4 MB
003 Linear Algebra and Geometry_en.srt	5.1 KB
004 Arrays in Python - A Convenient Way To Represent Matrices.mp4	19.9 MB
004 Arrays in Python - A Convenient Way To Represent Matrices_en.srt	7.6 KB
004 Scalars-Vectors-and-Matrices.ipynb	4.7 KB
005 Tensors.ipynb	2.1 KB
005 What is a Tensor.mp4	16.3 MB
005 What is a Tensor_en.srt	4.7 KB
006 Adding-and-subtracting-matrices.ipynb	3.3 KB
006 Addition and Subtraction of Matrices.mp4	23.2 MB
006 Addition and Subtraction of Matrices_en.srt	5.2 KB
007 Errors when Adding Matrices.mp4	6.1 MB
007 Errors when Adding Matrices_en.srt	3.3 KB
007 Errors-when-adding-scalars-vectors-and-matrices-in-Python.ipynb	3.2 KB
008 Tranpose-of-a-matrix.ipynb	3.0 KB
008 Transpose of a Matrix.mp4	21.5 MB
008 Transpose of a Matrix_en.srt	6.8 KB
009 Dot Product.mp4	13.5 MB
009 Dot Product_en.srt	5.3 KB
009 Dot-product.ipynb	2.2 KB
010 Dot Product of Matrices.mp4	36.0 MB
010 Dot Product of Matrices_en.srt	11.3 KB
010 Dot-product-Part-2.ipynb	3.7 KB
011 Why is Linear Algebra Useful.mp4	92.7 MB
011 Why is Linear Algebra Useful_en.srt	14.2 KB
/41 - Part 7 Deep Learning/
001 What to Expect from this Part.mp4	12.3 MB
001 What to Expect from this Part_en.srt	5.9 KB
/42 - Deep Learning - Introduction to Neural Networks/
001 Course-Notes-Section-2.pdf	592.0 KB
001 Introduction to Neural Networks.mp4	11.0 MB
001 Introduction to Neural Networks_en.srt	7.7 KB
002 Course-Notes-Section-2.pdf	592.0 KB
002 Training the Model.mp4	8.1 MB
002 Training the Model_en.srt	5.8 KB
003 Types of Machine Learning.mp4	13.7 MB
003 Types of Machine Learning_en.srt	6.7 KB
004 The Linear Model (Linear Algebraic Version).mp4	8.4 MB
004 The Linear Model (Linear Algebraic Version)_en.srt	4.5 KB
005 The Linear Model with Multiple Inputs.mp4	8.3 MB
005 The Linear Model with Multiple Inputs_en.srt	3.4 KB
006 The Linear model with Multiple Inputs and Multiple Outputs.mp4	17.5 MB
006 The Linear model with Multiple Inputs and Multiple Outputs_en.srt	5.9 KB
007 Graphical Representation of Simple Neural Networks.mp4	8.2 MB
007 Graphical Representation of Simple Neural Networks_en.srt	3.3 KB
008 What is the Objective Function.mp4	6.5 MB
008 What is the Objective Function_en.srt	2.8 KB
009 Common Objective Functions L2-norm Loss.mp4	5.7 MB
009 Common Objective Functions L2-norm Loss_en.srt	3.6 KB
010 Common Objective Functions Cross-Entropy Loss.mp4	10.3 MB
010 Common Objective Functions Cross-Entropy Loss_en.srt	6.6 KB
011 GD-function-example.xlsx	43.4 KB
011 Optimization Algorithm 1-Parameter Gradient Descent.mp4	24.7 MB
011 Optimization Algorithm 1-Parameter Gradient Descent_en.srt	10.8 KB
012 Optimization Algorithm n-Parameter Gradient Descent.mp4	17.7 MB
012 Optimization Algorithm n-Parameter Gradient Descent_en.srt	9.5 KB
/43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/
001 Basic NN Example (Part 1).mp4	9.8 MB
001 Basic NN Example (Part 1)_en.srt	5.5 KB
001 Minimal-example-Part-1.ipynb	1.2 KB
001 Shortcuts-for-Jupyter.pdf	634.0 KB
002 Basic NN Example (Part 2).mp4	16.0 MB
002 Basic NN Example (Part 2)_en.srt	8.2 KB
002 Minimal-example-Part-2.ipynb	3.7 KB
003 Basic NN Example (Part 3).mp4	16.4 MB
003 Basic NN Example (Part 3)_en.srt	5.4 KB
003 Minimal-example-Part-3.ipynb	7.0 KB
004 Basic NN Example (Part 4).mp4	41.9 MB
004 Basic NN Example (Part 4)_en.srt	13.5 KB
004 Minimal-example-Part-4-Complete.ipynb	11.7 KB
005 Basic NN Example Exercises.html	1.7 KB
005 Minimal-example-All-Exercises.ipynb	13.2 KB
005 Minimal-example-Exercise-1-Solution.ipynb	70.7 KB
005 Minimal-example-Exercise-2-Solution.ipynb	62.9 KB
005 Minimal-example-Exercise-3.a.Solution.ipynb	69.5 KB
005 Minimal-example-Exercise-3.b.Solution.ipynb	69.3 KB
005 Minimal-example-Exercise-3.c.Solution.ipynb	71.8 KB
005 Minimal-example-Exercise-3.d.Solution.ipynb	86.2 KB
005 Minimal-example-Exercise-4-Solution.ipynb	68.1 KB
005 Minimal-example-Exercise-5-Solution.ipynb	70.5 KB
005 Minimal-example-Exercise-6-Solution.ipynb	63.2 KB
005 Minimal-example-Exercise-6.ipynb	63.2 KB
/44 - Deep Learning - TensorFlow 2.0 Introduction/
001 How to Install TensorFlow 2.0.mp4	28.6 MB
001 How to Install TensorFlow 2.0_en.srt	8.1 KB
001 Shortcuts-for-Jupyter.pdf	634.0 KB
002 TensorFlow Outline and Comparison with Other Libraries.mp4	16.0 MB
002 TensorFlow Outline and Comparison with Other Libraries_en.srt	6.7 KB
003 TensorFlow 1 vs TensorFlow 2.mp4	16.1 MB
003 TensorFlow 1 vs TensorFlow 2_en.srt	5.0 KB
004 A Note on TensorFlow 2 Syntax.mp4	4.9 MB
004 A Note on TensorFlow 2 Syntax_en.srt	1.7 KB
005 TensorFlow-Minimal-example-Part1.ipynb	1.7 KB
005 Types of File Formats Supporting TensorFlow.mp4	9.3 MB
005 Types of File Formats Supporting TensorFlow_en.srt	4.2 KB
006 Outlining the Model with TensorFlow 2.mp4	28.2 MB
006 Outlining the Model with TensorFlow 2_en.srt	10.4 KB
006 TensorFlow-Minimal-example-Part2.ipynb	9.3 KB
007 Interpreting the Result and Extracting the Weights and Bias.mp4	27.2 MB
007 Interpreting the Result and Extracting the Weights and Bias_en.srt	8.4 KB
007 TensorFlow-Minimal-example-Part3.ipynb	78.4 KB
008 Customizing a TensorFlow 2 Model.mp4	17.5 MB
008 Customizing a TensorFlow 2 Model_en.srt	5.3 KB
008 TensorFlow-Minimal-example-complete-with-comments.ipynb	84.3 KB
008 TensorFlow-Minimal-example-complete.ipynb	78.7 KB
009 Basic NN with TensorFlow Exercises.html	1.3 KB
009 TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	85.7 KB
009 TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	79.4 KB
009 TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	86.5 KB
009 TensorFlow-Minimal-example-All-exercises.ipynb	85.6 KB
009 TensorFlow-Minimal-example-Exercise-1-Solution.ipynb	28.6 KB
/45 - Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/
001 Course-Notes-Section-6.pdf	958.9 KB
001 What is a Layer.mp4	5.4 MB
001 What is a Layer_en.srt	3.3 KB
002 Course-Notes-Section-6.pdf	958.9 KB
002 What is a Deep Net.mp4	9.6 MB
002 What is a Deep Net_en.srt	4.0 KB
003 Digging into a Deep Net.mp4	24.8 MB
003 Digging into a Deep Net_en.srt	8.5 KB
004 Non-Linearities and their Purpose.mp4	23.7 MB
004 Non-Linearities and their Purpose_en.srt	5.3 KB
005 Activation Functions.mp4	9.3 MB
005 Activation Functions_en.srt	6.4 KB
006 Activation Functions Softmax Activation.mp4	9.2 MB
006 Activation Functions Softmax Activation_en.srt	5.5 KB
007 Backpropagation.mp4	21.3 MB
007 Backpropagation_en.srt	5.6 KB
008 Backpropagation Picture.mp4	8.5 MB
008 Backpropagation Picture_en.srt	4.6 KB
009 Backpropagation - A Peek into the Mathematics of Optimization.html	0.5 KB
009 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf	186.8 KB
/46 - Deep Learning - Overfitting/
001 What is Overfitting.mp4	11.3 MB
001 What is Overfitting_en.srt	7.1 KB
002 Underfitting and Overfitting for Classification.mp4	14.7 MB
002 Underfitting and Overfitting for Classification_en.srt	3.5 KB
003 What is Validation.mp4	8.8 MB
003 What is Validation_en.srt	6.1 KB
004 Training, Validation, and Test Datasets.mp4	9.9 MB
004 Training, Validation, and Test Datasets_en.srt	4.2 KB
005 N-Fold Cross Validation.mp4	6.5 MB
005 N-Fold Cross Validation_en.srt	5.3 KB
006 Early Stopping or When to Stop Training.mp4	10.8 MB
006 Early Stopping or When to Stop Training_en.srt	8.5 KB
/47 - Deep Learning - Initialization/
001 What is Initialization.mp4	13.5 MB
001 What is Initialization_en.srt	4.6 KB
002 Types of Simple Initializations.mp4	6.0 MB
002 Types of Simple Initializations_en.srt	4.6 KB
003 State-of-the-Art Method - (Xavier) Glorot Initialization.mp4	5.7 MB
003 State-of-the-Art Method - (Xavier) Glorot Initialization_en.srt	4.6 KB
/48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/
001 Stochastic Gradient Descent.mp4	10.1 MB
001 Stochastic Gradient Descent_en.srt	5.9 KB
002 Problems with Gradient Descent.mp4	3.8 MB
002 Problems with Gradient Descent_en.srt	3.6 KB
003 Momentum.mp4	5.4 MB
003 Momentum_en.srt	4.4 KB
004 Learning Rate Schedules, or How to Choose the Optimal Learning Rate_en.srt	7.8 KB
005 Learning Rate Schedules Visualized.mp4	8.4 MB
005 Learning Rate Schedules Visualized_en.srt	2.7 KB
006 Adaptive Learning Rate Schedules (AdaGrad and RMSprop )_en.srt	6.9 KB
007 Adam (Adaptive Moment Estimation).mp4	7.5 MB
007 Adam (Adaptive Moment Estimation)_en.srt	4.2 KB
/temp/
index_13061100.mpd	40.2 KB
index_13061110.mpd	36.8 KB
index_13061118.m3u8	2.7 KB
index_13061118_1024x576.m3u8	9.3 KB
index_13061118_1280x720.m3u8	9.3 KB
index_13061118_1920x1080.m3u8	9.4 KB
index_13061118_640x360.m3u8	9.3 KB
index_13061118_768x432.m3u8	9.3 KB
/49 - Deep Learning - Preprocessing/
001 Preprocessing Introduction.mp4	9.7 MB
001 Preprocessing Introduction_en.srt	5.0 KB
002 Types of Basic Preprocessing.mp4	3.4 MB
002 Types of Basic Preprocessing_en.srt	2.3 KB
003 Standardization.mp4	12.7 MB
003 Standardization_en.srt	7.6 KB
004 Preprocessing Categorical Data.mp4	5.7 MB
004 Preprocessing Categorical Data_en.srt	3.5 KB
005 Binary and One-Hot Encoding.mp4	25.1 MB
005 Binary and One-Hot Encoding_en.srt	6.6 KB
/50 - Deep Learning - Classifying on the MNIST Dataset/
001 MNIST The Dataset.mp4	4.8 MB
001 MNIST The Dataset_en.srt	4.5 KB
002 MNIST How to Tackle the MNIST.mp4	8.3 MB
002 MNIST How to Tackle the MNIST_en.srt	4.4 KB
003 MNIST Importing the Relevant Packages and Loading the Data.mp4	12.8 MB
003 MNIST Importing the Relevant Packages and Loading the Data_en.srt	3.7 KB
003 TensorFlow-MNIST-Part1-with-comments.ipynb	4.1 KB
004 MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4	24.0 MB
004 MNIST Preprocess the Data - Create a Validation Set and Scale It_en.srt	8.0 KB
005 MNIST Preprocess the Data - Scale the Test Data - Exercise.html	0.1 KB
005 TensorFlow-MNIST-Part2-with-comments.ipynb	6.5 KB
006 MNIST Preprocess the Data - Shuffle and Batch.mp4	34.3 MB
006 MNIST Preprocess the Data - Shuffle and Batch_en.srt	11.7 KB
007 MNIST Preprocess the Data - Shuffle and Batch - Exercise.html	0.1 KB
007 TensorFlow-MNIST-Part3-with-comments.ipynb	8.8 KB
008 MNIST Outline the Model.mp4	23.2 MB
008 MNIST Outline the Model_en.srt	8.8 KB
008 TensorFlow-MNIST-Part4-with-comments.ipynb	10.7 KB
009 MNIST Select the Loss and the Optimizer.mp4	11.1 MB
009 MNIST Select the Loss and the Optimizer_en.srt	3.7 KB
009 TensorFlow-MNIST-Part5-with-comments.ipynb	11.2 KB
010 MNIST Learning.mp4	32.5 MB
010 MNIST Learning_en.srt	9.8 KB
010 TensorFlow-MNIST-Part6-with-comments.ipynb	12.8 KB
011 1.TensorFlow-MNIST-Width-Solution.ipynb	15.2 KB
011 2.TensorFlow-MNIST-Depth-Solution.ipynb	15.7 KB
011 3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	15.7 KB
011 4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	15.5 KB
011 5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	15.1 KB
011 6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	15.5 KB
011 7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	15.5 KB
011 8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	21.1 KB
011 9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	16.2 KB
011 MNIST - Exercises.html	2.0 KB
011 TensorFlow-MNIST-All-Exercises.ipynb	17.1 KB
011 TensorFlow-MNIST-around-98-percent-accuracy.ipynb	15.4 KB
012 MNIST Testing the Model.mp4	23.7 MB
012 MNIST Testing the Model_en.srt	7.3 KB
012 TensorFlow-MNIST-complete-with-comments.ipynb	14.9 KB
012 TensorFlow-MNIST-complete.ipynb	6.9 KB
/51 - Deep Learning - Business Case Example/
001 Audiobooks-data.csv	727.8 KB
001 Business Case Exploring the Dataset and Identifying Predictors.mp4	53.8 MB
001 Business Case Exploring the Dataset and Identifying Predictors_en.srt	13.7 KB
002 Business Case Outlining the Solution.mp4	3.2 MB
002 Business Case Outlining the Solution_en.srt	2.3 KB
003 Business Case Balancing the Dataset.mp4	28.6 MB
003 Business Case Balancing the Dataset_en.srt	5.3 KB
004 Business Case Preprocessing the Data.mp4	77.4 MB
004 Business Case Preprocessing the Data_en.srt	16.9 KB
004 TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
004 TensorFlow-Audiobooks-Preprocessing.ipynb	5.7 KB
005 Business Case Preprocessing the Data - Exercise.html	0.4 KB
005 TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	10.3 KB
005 TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	8.8 KB
006 Business Case Load the Preprocessed Data.mp4	14.5 MB
006 Business Case Load the Preprocessed Data_en.srt	5.7 KB
007 Business Case Load the Preprocessed Data - Exercise.html	0.1 KB
007 TensorFlow-Audiobooks-Machine-Learning-Part1-with-comments.ipynb	4.7 KB
008 Business Case Learning and Interpreting the Result.mp4	29.1 MB
008 Business Case Learning and Interpreting the Result_en.srt	7.8 KB
008 TensorFlow-Audiobooks-Machine-Learning-Part2-with-comments.ipynb	20.2 KB
009 Business Case Setting an Early Stopping Mechanism.mp4	45.9 MB
009 Business Case Setting an Early Stopping Mechanism_en.srt	10.0 KB
009 TensorFlow-Audiobooks-Machine-Learning-Part3-with-comments.ipynb	10.3 KB
010 Setting an Early Stopping Mechanism - Exercise.html	0.2 KB
011 Business Case Testing the Model.mp4	8.6 MB
011 Business Case Testing the Model_en.srt	2.6 KB
011 TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	12.2 KB
012 Business Case Final Exercise.html	0.4 KB
012 TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	12.2 KB
/52 - Deep Learning - Conclusion/
001 Summary on What You've Learned.mp4	10.3 MB
001 Summary on What You've Learned_en.srt	6.7 KB
002 What's Further out there in terms of Machine Learning.mp4	5.0 MB
002 What's Further out there in terms of Machine Learning_en.srt	3.3 KB
003 DeepMind and Deep Learning.html	1.1 KB
004 An overview of CNNs.mp4	14.0 MB
004 An overview of CNNs_en.srt	7.7 KB
005 An Overview of RNNs.mp4	7.3 MB
005 An Overview of RNNs_en.srt	4.8 KB
006 An Overview of non-NN Approaches.mp4	16.9 MB
006 An Overview of non-NN Approaches_en.srt	7.0 KB
/53 - Appendix Deep Learning - TensorFlow 1 Introduction/
001 READ ME!!!!.html	0.6 KB
002 How to Install TensorFlow 1.mp4	5.2 MB
002 How to Install TensorFlow 1_en.srt	4.2 KB
003 A Note on Installing Packages in Anaconda.html	2.3 KB
004 TensorFlow Intro.mp4	17.7 MB
004 TensorFlow Intro_en.srt	6.5 KB
005 Actual Introduction to TensorFlow.mp4	9.6 MB
005 Actual Introduction to TensorFlow_en.srt	2.9 KB
005 Shortcuts-for-Jupyter.pdf	634.0 KB
006 5.3.TensorFlow-Minimal-example-Part-1.ipynb	3.4 KB
006 Types of File Formats, supporting Tensors.mp4	9.3 MB
006 Types of File Formats, supporting Tensors_en.srt	4.2 KB
007 5.4.TensorFlow-Minimal-example-Part-2.ipynb	6.3 KB
007 Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4	18.6 MB
007 Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases_en.srt	9.9 KB
008 5.5.TensorFlow-Minimal-example-Part-3.ipynb	8.9 KB
008 Basic NN Example with TF Loss Function and Gradient Descent.mp4	16.5 MB
008 Basic NN Example with TF Loss Function and Gradient Descent_en.srt	6.0 KB
009 5.6.TensorFlow-Minimal-example-complete.ipynb	12.4 KB
009 Basic NN Example with TF Model Output.mp4	20.1 MB
009 Basic NN Example with TF Model Output_en.srt	9.7 KB
010 Basic NN Example with TF Exercises.html	1.6 KB
010 TensorFlow-Minimal-Example-All-Exercises.ipynb	14.3 KB
010 TensorFlow-Minimal-Example-Exercise-1-Solution.ipynb	24.2 KB
010 TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	26.2 KB
010 TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	26.1 KB
010 TensorFlow-Minimal-Example-Exercise-2-3-Solution.ipynb	51.2 KB
010 TensorFlow-Minimal-Example-Exercise-2-4-Solution.ipynb	22.3 KB
010 TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	27.4 KB
010 TensorFlow-Minimal-Example-Exercise-4-Solution.ipynb	27.6 KB
/54 - Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/
001 MNIST What is the MNIST Dataset.mp4	5.0 MB
001 MNIST What is the MNIST Dataset_en.srt	4.4 KB
002 MNIST How to Tackle the MNIST.mp4	6.8 MB
002 MNIST How to Tackle the MNIST_en.srt	4.7 KB
003 12.3.TensorFlow-MNIST-with-comments-Part-1.ipynb	4.0 KB
003 MNIST Relevant Packages.mp4	11.8 MB
003 MNIST Relevant Packages_en.srt	2.7 KB
004 12.4.TensorFlow-MNIST-with-comments-Part-2.ipynb	6.2 KB
004 MNIST Model Outline.mp4	36.3 MB
004 MNIST Model Outline_en.srt	11.3 KB
005 12.5.TensorFlow-MNIST-with-comments-Part-3.ipynb	7.5 KB
005 MNIST Loss and Optimization Algorithm.mp4	16.5 MB
005 MNIST Loss and Optimization Algorithm_en.srt	4.4 KB
006 12.6.TensorFlow-MNIST-with-comments-Part-4.ipynb	8.1 KB
006 Calculating the Accuracy of the Model.mp4	25.6 MB
006 Calculating the Accuracy of the Model_en.srt	6.5 KB
007 12.7.TensorFlow-MNIST-with-comments-Part-5.ipynb	8.7 KB
007 MNIST Batching and Early Stopping.mp4	9.9 MB
007 MNIST Batching and Early Stopping_en.srt	3.5 KB
008 12.8.TensorFlow-MNIST-with-comments-Part-6.ipynb	11.8 KB
008 MNIST Learning.mp4	33.4 MB
008 MNIST Learning_en.srt	12.9 KB
009 12.9.TensorFlow-MNIST-with-comments.ipynb	13.3 KB
009 MNIST Results and Testing.mp4	47.7 MB
009 MNIST Results and Testing_en.srt	10.1 KB
010 MNIST Exercises.html	2.2 KB
010 TensorFlow-MNIST-Exercises-All.ipynb	15.8 KB
011 0.TensorFlow-MNIST-take-note-of-time-Solution.ipynb	14.3 KB
011 1.TensorFlow-MNIST-Width-Solution.ipynb	14.4 KB
011 2.TensorFlow-MNIST-Depth-Solution.ipynb	15.2 KB
011 3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	17.2 KB
011 4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	14.7 KB
011 5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	14.3 KB
011 6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	14.6 KB
011 7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	14.5 KB
011 8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	14.4 KB
011 9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	15.6 KB
011 MNIST Solutions.html	2.3 KB
011 TensorFlow-MNIST-around-98-percent-accuracy.ipynb	18.1 KB
/55 - Appendix Deep Learning - TensorFlow 1 Business Case/
001 Audiobooks-data.csv	727.8 KB
001 Business Case Getting Acquainted with the Dataset.mp4	63.2 MB
001 Business Case Getting Acquainted with the Dataset_en.srt	13.6 KB
002 Business Case Outlining the Solution.mp4	4.4 MB
002 Business Case Outlining the Solution_en.srt	3.2 KB
003 Audiobooks-data.csv	727.8 KB
003 The Importance of Working with a Balanced Dataset.mp4	28.6 MB
003 The Importance of Working with a Balanced Dataset_en.srt	5.4 KB
004 Audiobooks-data.csv	727.8 KB
004 Business Case Preprocessing.mp4	66.8 MB
004 Business Case Preprocessing_en.srt	16.7 KB
004 TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
004 TensorFlow-Audiobooks-Preprocessing.ipynb	5.7 KB
005 Audiobooks-data.csv	727.8 KB
005 Business Case Preprocessing Exercise.html	0.4 KB
005 TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	10.3 KB
005 TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	8.8 KB
006 Creating a Data Provider.mp4	59.0 MB
006 Creating a Data Provider_en.srt	10.2 KB
007 Business Case Model Outline.mp4	44.6 MB
007 Business Case Model Outline_en.srt	8.8 KB
007 TensorFlow-Audiobooks-Outlining-the-model-with-comments.ipynb	10.6 KB
007 TensorFlow-Audiobooks-Outlining-the-model.ipynb	9.6 KB
008 Business Case Optimization.mp4	28.2 MB
008 Business Case Optimization_en.srt	8.5 KB
008 TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	13.0 KB
008 TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	10.9 KB
009 Business Case Interpretation.mp4	19.5 MB
009 Business Case Interpretation_en.srt	3.8 KB
009 TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	13.0 KB
009 TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	10.9 KB
010 Business Case Testing the Model.mp4	4.5 MB
010 Business Case Testing the Model_en.srt	3.3 KB
011 Audiobooks-data.csv	727.8 KB
011 Business Case A Comment on the Homework.mp4	21.6 MB
011 Business Case A Comment on the Homework_en.srt	6.6 KB
011 TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	14.7 KB
011 TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
012 Audiobooks-data.csv	727.8 KB
012 Business Case Final Exercise.html	0.4 KB
012 TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	14.7 KB
012 TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
/56 - Software Integration/
001 What are Data, Servers, Clients, Requests, and Responses.mp4	20.5 MB
001 What are Data, Servers, Clients, Requests, and Responses_en.srt	7.7 KB
002 What are Data Connectivity, APIs, and Endpoints.mp4	63.2 MB
002 What are Data Connectivity, APIs, and Endpoints_en.srt	11.2 KB
003 Taking a Closer Look at APIs.mp4	70.3 MB
003 Taking a Closer Look at APIs_en.srt	13.4 KB
004 Communication between Software Products through Text Files.mp4	22.9 MB
004 Communication between Software Products through Text Files_en.srt	7.2 KB
005 Software Integration - Explained.mp4	45.0 MB
005 Software Integration - Explained_en.srt	8.5 KB
/57 - Case Study - What's Next in the Course/
001 Game Plan for this Python, SQL, and Tableau Business Exercise.mp4	20.6 MB
001 Game Plan for this Python, SQL, and Tableau Business Exercise_en.srt	6.8 KB
002 The Business Task.mp4	8.8 MB
002 The Business Task_en.srt	5.0 KB
003 Introducing the Data Set.mp4	25.4 MB
003 Introducing the Data Set_en.srt	5.3 KB
/58 - Case Study - Preprocessing the 'Absenteeism_data'/
001 Absenteeism-data.csv	32.8 KB
001 What to Expect from the Following Sections.html	2.5 KB
001 data-preprocessing-homework.pdf	137.7 KB
001 df-preprocessed.csv	29.8 KB
002 Importing the Absenteeism Data in Python.mp4	20.5 MB
002 Importing the Absenteeism Data in Python_en.srt	5.0 KB
003 Checking the Content of the Data Set.mp4	56.7 MB
003 Checking the Content of the Data Set_en.srt	8.7 KB
004 Introduction to Terms with Multiple Meanings.mp4	18.9 MB
004 Introduction to Terms with Multiple Meanings_en.srt	5.3 KB
005 What's Regression Analysis - a Quick Refresher.html	2.9 KB
006 Using a Statistical Approach towards the Solution to the Exercise.mp4	14.4 MB
006 Using a Statistical Approach towards the Solution to the Exercise_en.srt	3.7 KB
007 Dropping a Column from a DataFrame in Python.mp4	43.3 MB
007 Dropping a Column from a DataFrame in Python_en.srt	10.2 KB
008 EXERCISE - Dropping a Column from a DataFrame in Python.html	0.9 KB
009 SOLUTION - Dropping a Column from a DataFrame in Python.html	0.1 KB
010 Analyzing the Reasons for Absence.mp4	29.0 MB
010 Analyzing the Reasons for Absence_en.srt	7.4 KB
011 Obtaining Dummies from a Single Feature.mp4	73.2 MB
011 Obtaining Dummies from a Single Feature_en.srt	13.0 KB
012 EXERCISE - Obtaining Dummies from a Single Feature.html	0.1 KB
013 SOLUTION - Obtaining Dummies from a Single Feature.html	0.1 KB
014 Dropping a Dummy Variable from the Data Set.html	2.4 KB
015 More on Dummy Variables A Statistical Perspective.mp4	6.1 MB
015 More on Dummy Variables A Statistical Perspective_en.srt	2.1 KB
016 Classifying the Various Reasons for Absence.mp4	62.1 MB
016 Classifying the Various Reasons for Absence_en.srt	13.0 KB
017 Using .concat() in Python.mp4	28.7 MB
017 Using .concat() in Python_en.srt	6.3 KB
018 EXERCISE - Using .concat() in Python.html	0.2 KB
019 SOLUTION - Using .concat() in Python.html	0.1 KB
020 Reordering Columns in a Pandas DataFrame in Python.mp4	10.5 MB
020 Reordering Columns in a Pandas DataFrame in Python_en.srt	2.3 KB
021 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html	0.2 KB
022 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html	0.5 KB
023 Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb	4.9 KB
023 Creating Checkpoints while Coding in Jupyter.mp4	18.2 MB
023 Creating Checkpoints while Coding in Jupyter_en.srt	4.4 KB
024 EXERCISE - Creating Checkpoints while Coding in Jupyter.html	0.1 KB
025 SOLUTION - Creating Checkpoints while Coding in Jupyter.html	0.1 KB
026 Analyzing the Dates from the Initial Data Set.mp4	42.1 MB
026 Analyzing the Dates from the Initial Data Set_en.srt	10.9 KB
027 Extracting the Month Value from the Date Column.mp4	35.6 MB
027 Extracting the Month Value from the Date Column_en.srt	9.8 KB
028 Extracting the Day of the Week from the Date Column.mp4	20.0 MB
028 Extracting the Day of the Week from the Date Column_en.srt	5.9 KB
029 Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb	7.5 KB
029 Absenteeism-Exercise-Preprocessing-LECTURES.ipynb	8.0 MB
029 Absenteeism-Exercise-Removing-the-Date-Column-SOLUTION.ipynb	8.5 KB
029 EXERCISE - Removing the Date Column.html	1.2 KB
030 Analyzing Several Straightforward Columns for this Exercise.mp4	21.1 MB
030 Analyzing Several Straightforward Columns for this Exercise_en.srt	5.6 KB
031 Working on Education, Children, and Pets.mp4	17.7 MB
031 Working on Education, Children, and Pets_en.srt	7.4 KB
032 Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb	4.2 KB
032 Absenteeism-Exercise-Preprocessing-df-preprocessed.ipynb	8.7 KB
032 Final Remarks of this Section.mp4	20.7 MB
032 Final Remarks of this Section_en.srt	3.3 KB
033 A Note on Exporting Your Data as a .csv File.html	0.9 KB
/59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/
001 Absenteeism-preprocessed.csv	29.8 KB
001 Exploring the Problem with a Machine Learning Mindset_en.srt	5.9 KB
002 Creating the Targets for the Logistic Regression_en.srt	10.7 KB
003 Selecting the Inputs for the Logistic Regression_en.srt	4.4 KB
004 Standardizing the Data.mp4	15.9 MB
004 Standardizing the Data_en.srt	5.2 KB
005 Splitting the Data for Training and Testing.mp4	43.9 MB
005 Splitting the Data for Training and Testing_en.srt	10.6 KB
006 Fitting the Model and Assessing its Accuracy.mp4	37.0 MB
006 Fitting the Model and Assessing its Accuracy_en.srt	9.0 KB
007 Creating a Summary Table with the Coefficients and Intercept_en.srt	7.7 KB
008 Interpreting the Coefficients for Our Problem.mp4	26.0 MB
008 Interpreting the Coefficients for Our Problem_en.srt	10.6 KB
009 Logistic-Regression-prior-to-Custom-Scaler.url	0.2 KB
009 Standardizing only the Numerical Variables (Creating a Custom Scaler)_en.srt	6.4 KB
010 Interpreting the Coefficients of the Logistic Regression_en.srt	9.2 KB
011 Backward Elimination or How to Simplify Your Model_en.srt	6.6 KB
011 Logistic-Regression-prior-to-Backward-Elimination.url	0.2 KB
012 Testing the Model We Created.mp4	33.1 MB
012 Testing the Model We Created_en.srt	8.0 KB
013 Saving the Model and Preparing it for Deployment_en.srt	7.1 KB
014 ARTICLE - A Note on 'pickling'.html	2.2 KB
015 EXERCISE - Saving the Model (and Scaler).html	0.3 KB
015 Logistic-Regression-with-Comments.url	0.2 KB
015 Logistic-Regression.url	0.2 KB
016 Preparing the Deployment of the Model through a Module_en.srt	7.3 KB
external-links.txt	0.8 KB
/temp/
index_15185936.mpd	64.8 KB
index_15251152.mpd	65.3 KB
index_15251154.mpd	39.0 KB
index_15251158.mpd	57.8 KB
index_15251164.mpd	56.0 KB
index_15251168.mpd	40.2 KB
index_15251170.mpd	66.9 KB
index_15256016.mpd	60.7 KB
index_15293084.mpd	58.1 KB
/60 - Case Study - Loading the 'absenteeism_module'/
001 Absenteeism-Exercise-Integration.ipynb	63.8 KB
001 Absenteeism-new-data.csv	1.9 KB
001 Are You Sure You're All Set.html	0.5 KB
001 absenteeism-module.py	6.8 KB
001 model	1.0 KB
001 scaler	1.9 KB
002 Deploying the 'absenteeism_module' - Part I.mp4	20.6 MB
002 Deploying the 'absenteeism_module' - Part I_en.srt	6.1 KB
003 Deploying the 'absenteeism_module' - Part II.mp4	47.3 MB
003 Deploying the 'absenteeism_module' - Part II_en.srt	9.9 KB
004 Absenteeism-Exercise-Deploying-the-absenteeism-module.ipynb	1.0 KB
004 Exporting the Obtained Data Set as a .csv.html	1.0 KB
/61 - Case Study - Analyzing the Predicted Outputs in Tableau/
001 Absenteeism-predictions.csv	2.2 KB
001 EXERCISE - Age vs Probability.html	0.4 KB
002 Absenteeism-predictions.csv	2.2 KB
002 Analyzing Age vs Probability in Tableau.mp4	40.5 MB
002 Analyzing Age vs Probability in Tableau_en.srt	12.6 KB
003 EXERCISE - Reasons vs Probability.html	0.4 KB
004 Analyzing Reasons vs Probability in Tableau.mp4	42.2 MB
004 Analyzing Reasons vs Probability in Tableau_en.srt	11.8 KB
005 EXERCISE - Transportation Expense vs Probability.html	0.5 KB
006 Analyzing Transportation Expense vs Probability in Tableau.mp4	20.7 MB
006 Analyzing Transportation Expense vs Probability in Tableau_en.srt	9.5 KB
/62 - Appendix - Additional Python Tools/
001 Additional-Python-Tools-Exercises.ipynb	11.6 KB
001 Additional-Python-Tools-Lectures.ipynb	13.8 KB
001 Additional-Python-Tools-Solutions.ipynb	26.1 KB
001 Using the .format() Method.mp4	26.9 MB
001 Using the .format() Method_en.srt	15.6 KB
002 Iterating Over Range Objects.mp4	13.2 MB
002 Iterating Over Range Objects_en.srt	7.9 KB
003 Introduction to Nested For Loops.mp4	12.7 MB
003 Introduction to Nested For Loops_en.srt	10.5 KB
004 Triple Nested For Loops.mp4	34.6 MB
004 Triple Nested For Loops_en.srt	10.5 KB
005 List Comprehensions.mp4	45.3 MB
005 List Comprehensions_en.srt	15.8 KB
006 Additional-Python-Tools-Exercises.ipynb	11.6 KB
006 Additional-Python-Tools-Lectures.ipynb	13.8 KB
006 Additional-Python-Tools-Solutions.ipynb	26.1 KB
006 Anonymous (Lambda) Functions.mp4	31.8 MB
006 Anonymous (Lambda) Functions_en.srt	12.9 KB
/63 - Appendix - pandas Fundamentals/
001 Introduction to pandas Series.mp4	23.3 MB
001 Introduction to pandas Series_en.srt	13.4 KB
001 Lending-company.csv	115.1 KB
001 Location.csv	13.8 KB
001 Region.csv	10.5 KB
001 Sales-products.csv	155.9 KB
001 pandas-Fundamentals-Exercises.ipynb	31.7 KB
001 pandas-Fundamentals-Lectures.ipynb	21.8 KB
001 pandas-Fundamentals-Solutions.ipynb	121.2 KB
002 Working with Methods in Python - Part I.mp4	20.5 MB
002 Working with Methods in Python - Part I_en.srt	8.8 KB
003 Working with Methods in Python - Part II.mp4	9.4 MB
003 Working with Methods in Python - Part II_en.srt	4.8 KB
004 Parameters and Arguments in pandas.mp4	22.2 MB
004 Parameters and Arguments in pandas_en.srt	7.0 KB
005 Using .unique() and .nunique().mp4	25.5 MB
005 Using .unique() and .nunique()_en.srt	7.2 KB
006 Using .sort_values().mp4	22.1 MB
006 Using .sort_values()_en.srt	6.8 KB
007 Introduction to pandas DataFrames - Part I.mp4	11.1 MB
007 Introduction to pandas DataFrames - Part I_en.srt	9.0 KB
008 Introduction to pandas DataFrames - Part II.mp4	18.7 MB
008 Introduction to pandas DataFrames - Part II_en.srt	9.9 KB
009 pandas DataFrames - Common Attributes.mp4	31.2 MB
009 pandas DataFrames - Common Attributes_en.srt	8.0 KB
010 Data Selection in pandas DataFrames.mp4	39.1 MB
010 Data Selection in pandas DataFrames_en.srt	13.0 KB
011 pandas DataFrames - Indexing with .iloc[].mp4	33.8 MB
011 pandas DataFrames - Indexing with .iloc[]_en.srt	10.3 KB
012 Lending-company.csv	115.1 KB
012 Location.csv	13.8 KB
012 Region.csv	10.5 KB
012 Sales-products.csv	155.9 KB
012 pandas DataFrames - Indexing with .loc[].mp4	21.7 MB
012 pandas DataFrames - Indexing with .loc[]_en.srt	6.8 KB
012 pandas-Fundamentals-Exercises.ipynb	31.7 KB
012 pandas-Fundamentals-Lectures.ipynb	21.8 KB
012 pandas-Fundamentals-Solutions.ipynb	121.2 KB
/64 - Appendix - Working with Text Files in Python/
001 An Introduction to Working with Files in Python.mp4	12.6 MB
001 An Introduction to Working with Files in Python_en.srt	7.3 KB
001 Common-Naming-Conventions.pdf	659.2 KB
001 Section-Resources-Working-with-Text-Files.url	0.1 KB
001 Working-with-Text-Files-Lectures.ipynb	28.2 KB
002 File vs File Object, Reading vs Parsing Data.mp4	9.9 MB
002 File vs File Object, Reading vs Parsing Data_en.srt	5.2 KB
003 Structured, Semi-Structured and Unstructured Data.mp4	11.6 MB
003 Structured, Semi-Structured and Unstructured Data_en.srt	6.2 KB
004 Text Files and Data Connectivity.mp4	11.3 MB
004 Text Files and Data Connectivity_en.srt	5.8 KB
005 Importing Data in Python - Principles.mp4	17.5 MB
005 Importing Data in Python - Principles_en.srt	9.3 KB
006 Plain Text Files, Flat Files and More.mp4	13.8 MB
006 Plain Text Files, Flat Files and More_en.srt	8.4 KB
007 Text Files of Fixed Width.mp4	5.1 MB
007 Text Files of Fixed Width_en.srt	2.8 KB
008 Common Naming Conventions.mp4	8.6 MB
008 Common Naming Conventions_en.srt	7.2 KB
008 Common-Naming-Conventions.pdf	659.2 KB
009 Importing Text Files - open().mp4	29.6 MB
009 Importing Text Files - open()_en.srt	16.7 KB
009 Importing-Text-Files-in-Python-open.ipynb	2.2 KB
009 source.txt	0.0 KB
010 Importing Text Files - with open().mp4	27.5 MB
010 Importing Text Files - with open()_en.srt	9.1 KB
010 Importing-Text-Files-in-Python-with-open.ipynb	2.5 KB
010 source.txt	0.0 KB
011 Importing .csv Files - Part I.mp4	52.3 MB
011 Importing .csv Files - Part I_en.srt	10.9 KB
011 Importing.csv-Files-with-pandas-Part-I.ipynb	1.6 KB
011 Lending-company-single-column-data.csv	117.2 KB
011 Lending-company.csv	115.1 KB
012 Importing .csv Files - Part II.mp4	11.5 MB
012 Importing .csv Files - Part II_en.srt	4.7 KB
013 Importing .csv Files - Part III.mp4	78.7 MB
013 Importing .csv Files - Part III_en.srt	11.4 KB
014 Importing Data with index_col.mp4	12.2 MB
014 Importing Data with index_col_en.srt	4.9 KB
015 Importing Data with .loadtxt() and .genfromtxt().mp4	59.1 MB
015 Importing Data with .loadtxt() and .genfromtxt()_en.srt	18.2 KB
015 Importing-Text-Data-with-NumPy-Complete.ipynb	11.8 KB
015 Importing-Text-Data-with-NumPy-Template.ipynb	2.3 KB
015 Lending-Company-Numeric-Data-NAN.csv	29.3 KB
015 Lending-Company-Numeric-Data.csv	30.2 KB
016 Importing Data - Partial Cleaning While Importing Data.mp4	46.0 MB
016 Importing Data - Partial Cleaning While Importing Data_en.srt	12.0 KB
017 Importing Data with NumPy - Exercise.html	0.3 KB
017 Importing-Text-Data-DSc-Exercise.ipynb	4.3 KB
017 Importing-Text-Data-DSc-Solution.ipynb	25.0 KB
018 Importing Data from .json Files.mp4	85.9 MB
018 Importing Data from .json Files_en.srt	9.3 KB
018 Lending-company.json	218.7 KB
019 An Introduction to Working with Excel Files in Python.mp4	45.1 MB
019 An Introduction to Working with Excel Files in Python_en.srt	6.8 KB
020 Lending-company.xlsx	95.3 KB
020 Working with Excel (.xlsx) Data.mp4	15.1 MB
020 Working with Excel (.xlsx) Data_en.srt	3.4 KB
021 Importing Data in Python - an Important Exercise.mp4	45.1 MB
021 Importing Data in Python - an Important Exercise_en.srt	10.2 KB
022 Customer-Gender.csv	7.6 KB
022 Importing Data with the .squeeze() Method.mp4	23.5 MB
022 Importing Data with the .squeeze() Method_en.srt	5.6 KB
022 Importing-Data-with-the-pandas-Squeeze-Method.ipynb	20.6 KB
023 Importing Files in Jupyter.mp4	20.5 MB
023 Importing Files in Jupyter_en.srt	5.9 KB
024 Saving Your Data with pandas.mp4	22.1 MB
024 Saving Your Data with pandas_en.srt	5.9 KB
025 Lending-Company-Saving.csv	59.8 KB
025 Saving Your Data with NumPy - Part I - .npy.mp4	19.8 MB
025 Saving Your Data with NumPy - Part I - .npy_en.srt	9.3 KB
025 Saving-Data-NP-Complete.ipynb	10.1 KB
025 Saving-Data-NP-Template.ipynb	3.2 KB
026 Saving Your Data with NumPy - Part II - .npz.mp4	24.4 MB
026 Saving Your Data with NumPy - Part II - .npz_en.srt	8.2 KB
027 Saving Your Data with NumPy - Part III - .csv.mp4	21.8 MB
027 Saving Your Data with NumPy - Part III - .csv_en.srt	6.6 KB
028 Saving Data with Numpy - Exercise.html	0.3 KB
028 Saving-Data-NP-Exercise.ipynb	6.1 KB
028 Saving-Data-NP-Solution.ipynb	13.7 KB
029 Working with Text Files in Python - Conclusion.mp4	2.2 MB
029 Working with Text Files in Python - Conclusion_en.srt	1.4 KB
029 Working-with-Text-Files-Lectures.ipynb	28.2 KB
external-links.txt	0.1 KB
/65 - Bonus Lecture/
001 365-Data-Science-Data-Science-Interview-Questions-Guide.pdf	16.3 MB
001 Bonus Lecture Next Steps.html	3.2 KB
Total files 1523