GigaCourse Com Udemy The Data Science Course Complete Data Science Bootcamp 2023

GigaCourse Com Udemy The Data Science Course Complete Data Science Bootcamp 2023

Name	[GigaCourse.Com] Udemy - The Data Science Course Complete Data Science Bootcamp 2023	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	17.4 GB
Total Files	1498
Last Seen	2025-08-07 01:03
Hash	4BF97D6EC9480DCE4607565BC7DA5A0DEA0A3FDB

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1 - Part 1 Introduction/
1 - A Practical Example What You Will Learn in This Course English.srt	8.7 KB
1 - A Practical Example What You Will Learn in This Course.mp4	71.1 MB
2 - What Does the Course Cover English.srt	6.9 KB
2 - What Does the Course Cover.mp4	54.5 MB
3 - Download All Resources and Important FAQ.html	21.9 KB
3 - Download all resources.txt	0.1 KB
3 - FAQ-The-Data-Science-Course.pdf	313.4 KB
/10 - Probability Combinatorics/
29 - Course-Notes-Combinatorics.pdf	231.5 KB
29 - Fundamentals of Combinatorics English.srt	1.8 KB
29 - Fundamentals of Combinatorics.mp4	9.8 MB
30 - Permutations and How to Use Them English.srt	5.6 KB
30 - Permutations and How to Use Them.mp4	27.8 MB
31 - Simple Operations with Factorials English.srt	4.3 KB
31 - Simple Operations with Factorials.mp4	15.3 MB
32 - Solving Variations with Repetition English.srt	4.8 KB
32 - Solving Variations with Repetition.mp4	21.3 MB
33 - Solving Variations without Repetition English.srt	6.3 KB
33 - Solving Variations without Repetition.mp4	17.7 MB
34 - Combinations-With-Repetition.pdf	212.4 KB
34 - Solving Combinations English.srt	7.7 KB
34 - Solving Combinations.mp4	36.7 MB
35 - Symmetry of Combinations English.srt	5.7 KB
35 - Symmetry of Combinations.mp4	21.6 MB
35 - Symmetry-Explained.pdf	87.1 KB
36 - Solving Combinations with Separate Sample Spaces English.srt	5.2 KB
36 - Solving Combinations with Separate Sample Spaces.mp4	20.8 MB
37 - Combinatorics in RealLife The Lottery English.srt	5.4 KB
37 - Combinatorics in RealLife The Lottery.mp4	26.8 MB
38 - A Recap of Combinatorics English.srt	4.9 KB
38 - A Recap of Combinatorics.mp4	24.5 MB
39 - A Practical Example of Combinatorics English.srt	19.7 KB
39 - A Practical Example of Combinatorics.mp4	126.7 MB
39 - Additional-Exercises-Combinatorics-Solutions.pdf	251.6 KB
39 - Additional-Exercises-Combinatorics.pdf	109.1 KB
/11 - Probability Bayesian Inference/
40 - Course-Notes-Bayesian-Inference.pdf	395.3 KB
40 - Sets and Events English.srt	6.9 KB
40 - Sets and Events.mp4	28.5 MB
41 - Ways Sets Can Interact English.srt	5.8 KB
41 - Ways Sets Can Interact.mp4	31.1 MB
42 - Intersection of Sets English.srt	3.2 KB
42 - Intersection of Sets.mp4	17.3 MB
43 - Union of Sets English.srt	7.9 KB
43 - Union of Sets.mp4	36.9 MB
44 - Mutually Exclusive Sets English.srt	3.5 KB
44 - Mutually Exclusive Sets.mp4	15.9 MB
45 - Dependence and Independence of Sets English.srt	4.4 KB
45 - Dependence and Independence of Sets.mp4	22.3 MB
46 - The Conditional Probability Formula English.srt	7.6 KB
46 - The Conditional Probability Formula.mp4	28.9 MB
47 - The Law of Total Probability English.srt	5.1 KB
47 - The Law of Total Probability.mp4	22.8 MB
48 - The Additive Rule English.srt	3.3 KB
48 - The Additive Rule.mp4	17.7 MB
49 - The Multiplication Law English.srt	6.0 KB
49 - The Multiplication Law.mp4	26.4 MB
50 - Bayes Law English.srt	9.8 KB
50 - Bayes Law.mp4	33.5 MB
51 - A Practical Example of Bayesian Inference English.srt	25.8 KB
51 - A Practical Example of Bayesian Inference.mp4	313.5 MB
51 - Bayesian-Homework-Solutions.pdf	31.1 KB
51 - Bayesian-Homework.pdf	27.9 KB
51 - CDS-2017-2018-Hamilton.pdf	865.6 KB
/12 - Probability Distributions/
52 - Course-Notes-Probability-Distributions.pdf	475.1 KB
52 - Fundamentals of Probability Distributions English.srt	10.7 KB
52 - Fundamentals of Probability Distributions.mp4	31.5 MB
53 - Types of Probability Distributions English.srt	13.4 KB
53 - Types of Probability Distributions.mp4	53.3 MB
54 - Characteristics of Discrete Distributions English.srt	3.2 KB
54 - Characteristics of Discrete Distributions.mp4	14.5 MB
55 - Discrete Distributions The Uniform Distribution English.srt	3.7 KB
55 - Discrete Distributions The Uniform Distribution.mp4	15.7 MB
56 - Discrete Distributions The Bernoulli Distribution English.srt	6.9 KB
56 - Discrete Distributions The Bernoulli Distribution.mp4	21.8 MB
57 - Discrete Distributions The Binomial Distribution English.srt	11.2 KB
57 - Discrete Distributions The Binomial Distribution.mp4	46.6 MB
58 - Discrete Distributions The Poisson Distribution English.srt	9.2 KB
58 - Discrete Distributions The Poisson Distribution.mp4	36.8 MB
58 - Poisson-Expected-Value-and-Variance.pdf	149.5 KB
59 - Characteristics of Continuous Distributions English.srt	11.7 KB
59 - Characteristics of Continuous Distributions.mp4	57.3 MB
59 - Solving-Integrals.pdf	352.1 KB
60 - Continuous Distributions The Normal Distribution English.srt	6.5 KB
60 - Continuous Distributions The Normal Distribution.mp4	31.5 MB
60 - Normal-Distribution-Exp-and-Var.pdf	147.5 KB
61 - Continuous Distributions The Standard Normal Distribution English.srt	7.3 KB
61 - Continuous Distributions The Standard Normal Distribution.mp4	31.3 MB
62 - Continuous Distributions The Students T Distribution English.srt	4.1 KB
62 - Continuous Distributions The Students T Distribution.mp4	14.8 MB
63 - Continuous Distributions The ChiSquared Distribution English.srt	3.8 KB
63 - Continuous Distributions The ChiSquared Distribution.mp4	16.7 MB
64 - Continuous Distributions The Exponential Distribution English.srt	5.7 KB
64 - Continuous Distributions The Exponential Distribution.mp4	25.5 MB
65 - Continuous Distributions The Logistic Distribution English.srt	6.9 KB
65 - Continuous Distributions The Logistic Distribution.mp4	26.2 MB
66 - A Practical Example of Probability Distributions English.srt	27.1 KB
66 - A Practical Example of Probability Distributions.mp4	297.5 MB
66 - Customers-Membership-post.xlsx	16.0 KB
66 - Customers-Membership.xlsx	9.9 KB
66 - Daily-Views-post.xlsx	20.7 KB
66 - Daily-Views.xlsx	9.8 KB
66 - FIFA19-post.csv	9.1 MB
66 - FIFA19.csv	9.1 MB
/13 - Probability Probability in Other Fields/
67 - Probability in Finance English.srt	12.9 KB
67 - Probability in Finance.mp4	65.5 MB
67 - Probability-in-Finance-Homework.pdf	113.3 KB
67 - Probability-in-Finance-Solutions.pdf	188.9 KB
68 - Probability in Statistics English.srt	11.7 KB
68 - Probability in Statistics.mp4	50.9 MB
69 - Probability in Data Science English.srt	9.1 KB
69 - Probability in Data Science.mp4	40.8 MB
69 - Probability-Cheat-Sheet.pdf	328.0 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/14 - Part 3 Statistics/
70 - Course-notes-descriptive-statistics.pdf	493.8 KB
70 - Population and Sample English.srt	7.5 KB
70 - Population and Sample.mp4	55.5 MB
70 - Statistics-Glossary.xlsx	20.8 KB
/15 - Statistics Descriptive Statistics/
71 - Course-notes-descriptive-statistics.pdf	493.8 KB
71 - Glossary.xlsx	20.4 KB
71 - Types of Data English.srt	7.4 KB
71 - Types of Data.mp4	67.7 MB
72 - Levels of Measurement English.srt	6.1 KB
72 - Levels of Measurement.mp4	47.2 MB
73 - 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx	31.5 KB
73 - Categorical Variables Visualization Techniques English.srt	8.5 KB
73 - Categorical Variables Visualization Techniques.mp4	55.8 MB
74 - 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx	42.1 KB
74 - 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx	15.6 KB
74 - Categorical Variables Exercise.html	0.1 KB
74 - Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	296.1 KB
75 - 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx	11.7 KB
75 - Numerical Variables Frequency Distribution Table English.srt	5.6 KB
75 - Numerical Variables Frequency Distribution Table.mp4	35.7 MB
76 - 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx	13.5 KB
76 - Numerical Variables Exercise.html	0.1 KB
77 - 2.5.The-Histogram-lesson.xlsx	19.1 KB
77 - The Histogram English.srt	4.3 KB
77 - The Histogram.mp4	19.7 MB
78 - 2.5.The-Histogram-exercise-solution.xlsx	17.5 KB
78 - 2.5.The-Histogram-exercise.xlsx	15.9 KB
78 - Histogram Exercise.html	0.1 KB
78 - Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf	296.1 KB
79 - 2.6.Cross-table-and-scatter-plot.xlsx	26.7 KB
79 - Cross Tables and Scatter Plots English.srt	8.8 KB
79 - Cross Tables and Scatter Plots.mp4	37.3 MB
80 - 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx	41.4 KB
80 - 2.6.Cross-table-and-scatter-plot-exercise.xlsx	16.7 KB
80 - Cross Tables and Scatter Plots Exercise.html	0.1 KB
81 - 2.7.Mean-median-and-mode-lesson.xlsx	10.7 KB
81 - Mean median and mode English.srt	7.6 KB
81 - Mean median and mode.mp4	50.3 MB
82 - 2.7.Mean-median-and-mode-exercise-solution.xlsx	11.6 KB
82 - 2.7.Mean-median-and-mode-exercise.xlsx	11.1 KB
82 - Mean Median and Mode Exercise.html	0.1 KB
83 - 2.8.Skewness-lesson.xlsx	35.5 KB
83 - Skewness English.srt	4.7 KB
83 - Skewness.mp4	28.0 MB
84 - 2.8.Skewness-exercise-solution.xlsx	20.3 KB
84 - 2.8.Skewness-exercise.xlsx	9.7 KB
84 - Skewness Exercise.html	0.1 KB
85 - 2.9.Variance-lesson.xlsx	10.3 KB
85 - Variance English.srt	10.5 KB
85 - Variance.mp4	46.3 MB
86 - 2.9.Variance-exercise-solution.xlsx	11.3 KB
86 - 2.9.Variance-exercise.xlsx	11.1 KB
86 - Variance Exercise.html	0.5 KB
87 - 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx	11.2 KB
87 - Standard Deviation and Coefficient of Variation English.srt	8.1 KB
87 - Standard Deviation and Coefficient of Variation.mp4	38.6 MB
88 - 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx	12.9 KB
88 - 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx	11.9 KB
88 - Standard Deviation and Coefficient of Variation Exercise.html	0.1 KB
89 - 2.11.Covariance-lesson.xlsx	25.5 KB
89 - Covariance English.srt	6.5 KB
89 - Covariance.mp4	37.4 MB
90 - 2.11.Covariance-exercise-solution.xlsx	30.2 KB
90 - 2.11.Covariance-exercise.xlsx	20.7 KB
90 - Covariance Exercise.html	0.1 KB
91 - Correlation Coefficient English.srt	6.3 KB
91 - Correlation Coefficient.mp4	41.9 MB
92 - 2.12.Correlation-exercise-solution.xlsx	30.2 KB
92 - 2.12.Correlation-exercise.xlsx	30.0 KB
92 - Correlation Coefficient Exercise.html	0.1 KB
/16 - Statistics Practical Example Descriptive Statistics/
93 - 2.13.Practical-example.Descriptive-statistics-lesson.xlsx	150.0 KB
93 - Practical Example Descriptive Statistics English.srt	27.0 KB
93 - Practical Example Descriptive Statistics.mp4	259.3 MB
94 - 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx	149.9 KB
94 - 2.13.Practical-example.Descriptive-statistics-exercise.xlsx	123.2 KB
94 - Practical Example Descriptive Statistics Exercise.html	0.1 KB
/17 - Statistics Inferential Statistics Fundamentals/
100 - Central Limit Theorem English.srt	7.1 KB
100 - Central Limit Theorem.mp4	37.8 MB
101 - Standard error English.srt	2.7 KB
101 - Standard error.mp4	10.6 MB
102 - Estimators and Estimates English.srt	5.1 KB
102 - Estimators and Estimates.mp4	44.3 MB
95 - Course-notes-inferential-statistics.pdf	391.5 KB
95 - Introduction English.srt	2.1 KB
95 - Introduction.mp4	5.4 MB
96 - 3.2.What-is-a-distribution-lesson.xlsx	19.9 KB
96 - Course-notes-inferential-statistics.pdf	391.5 KB
96 - What is a Distribution English.srt	7.5 KB
96 - What is a Distribution.mp4	28.2 MB
97 - The Normal Distribution English.srt	6.6 KB
97 - The Normal Distribution.mp4	56.2 MB
98 - 3.4.Standard-normal-distribution-lesson.xlsx	10.6 KB
98 - The Standard Normal Distribution English.srt	5.1 KB
98 - The Standard Normal Distribution.mp4	14.5 MB
99 - 3.4.Standard-normal-distribution-exercise-solution.xlsx	24.6 KB
99 - 3.4.Standard-normal-distribution-exercise.xlsx	12.3 KB
99 - The Standard Normal Distribution Exercise.html	0.1 KB
/18 - Statistics Inferential Statistics Confidence Intervals/
103 - What are Confidence Intervals English.srt	4.1 KB
103 - What are Confidence Intervals.mp4	45.7 MB
104 - 3.9.Population-variance-known-z-score-lesson.xlsx	11.5 KB
104 - 3.9.The-z-table.xlsx	26.2 KB
104 - Confidence Intervals Population Variance Known Zscore English.srt	12.3 KB
104 - Confidence Intervals Population Variance Known Zscore.mp4	105.8 MB
105 - 3.9.Population-variance-known-z-score-exercise-solution.xlsx	11.4 KB
105 - 3.9.Population-variance-known-z-score-exercise.xlsx	11.1 KB
105 - 3.9.The-z-table.xlsx	26.2 KB
105 - Confidence Intervals Population Variance Known Zscore Exercise.html	0.1 KB
106 - Confidence Interval Clarifications English.srt	7.1 KB
106 - Confidence Interval Clarifications.mp4	28.3 MB
107 - Students T Distribution English.srt	5.8 KB
107 - Students T Distribution.mp4	21.6 MB
108 - 3.11.Population-variance-unknown-t-score-lesson.xlsx	11.0 KB
108 - 3.11.The-t-table.xlsx	16.2 KB
108 - Confidence Intervals Population Variance Unknown Tscore English.srt	6.9 KB
108 - Confidence Intervals Population Variance Unknown Tscore.mp4	25.3 MB
109 - 3.11.Population-variance-unknown-t-score-exercise-solution.xlsx	11.4 KB
109 - 3.11.Population-variance-unknown-t-score-exercise.xlsx	10.9 KB
109 - 3.11.The-t-table.xlsx	16.2 KB
109 - Confidence Intervals Population Variance Unknown Tscore Exercise.html	0.1 KB
110 - Margin of Error English.srt	8.2 KB
110 - Margin of Error.mp4	50.9 MB
111 - 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx	10.7 KB
111 - Confidence intervals Two means Dependent samples English.srt	10.8 KB
111 - Confidence intervals Two means Dependent samples.mp4	96.7 MB
112 - 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise-solution.xlsx	14.6 KB
112 - 3.13.Confidence-intervals.Two-means.Dependent-samples-exercise.xlsx	14.1 KB
112 - Confidence intervals Two means Dependent samples Exercise.html	0.1 KB
113 - 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-lesson.xlsx	10.1 KB
113 - Confidence intervals Two means Independent Samples Part 1 English.srt	8.0 KB
113 - Confidence intervals Two means Independent Samples Part 1.mp4	19.2 MB
114 - 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise-solution.xlsx	10.4 KB
114 - 3.14.Confidence-intervals.Two-means.Independent-samples-Part-1-exercise.xlsx	10.1 KB
114 - Confidence intervals Two means Independent Samples Part 1 Exercise.html	0.1 KB
115 - 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-lesson.xlsx	9.7 KB
115 - Confidence intervals Two means Independent Samples Part 2 English.srt	6.0 KB
115 - Confidence intervals Two means Independent Samples Part 2.mp4	26.2 MB
116 - 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise-solution.xlsx	10.0 KB
116 - 3.15.Confidence-intervals.Two-means.Independent-samples-Part-2-exercise.xlsx	9.4 KB
116 - Confidence intervals Two means Independent Samples Part 2 Exercise.html	0.1 KB
117 - Confidence intervals Two means Independent Samples Part 3 English.srt	2.6 KB
117 - Confidence intervals Two means Independent Samples Part 3.mp4	11.6 MB
/19 - Statistics Practical Example Inferential Statistics/
118 - 3.17.Practical-example.Confidence-intervals-lesson.xlsx	1.8 MB
118 - Practical Example Inferential Statistics English.srt	17.8 KB
118 - Practical Example Inferential Statistics.mp4	140.5 MB
119 - 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx	1.9 MB
119 - 3.17.Practical-example.Confidence-intervals-exercise.xlsx	1.8 MB
119 - Practical Example Inferential Statistics Exercise.html	0.1 KB
/2 - The Field of Data Science The Various Data Science Disciplines/
4 - Data Science and Business Buzzwords Why are there so Many English.srt	9.6 KB
4 - Data Science and Business Buzzwords Why are there so Many.mp4	24.9 MB
5 - What is the difference between Analysis and Analytics English.srt	6.5 KB
5 - What is the difference between Analysis and Analytics.mp4	16.6 MB
6 - 365-DataScience-Diagram.pdf	330.8 KB
6 - Business Analytics Data Analytics and Data Science An Introduction English.srt	14.2 KB
6 - Business Analytics Data Analytics and Data Science An Introduction.mp4	30.8 MB
7 - 365-DataScience-Diagram.pdf	330.8 KB
7 - 365-DataScience.png	7.3 MB
7 - Continuing with BI ML and AI English.srt	15.9 KB
7 - Continuing with BI ML and AI.mp4	57.5 MB
8 - 365-DataScience.png	7.3 MB
8 - A Breakdown of our Data Science Infographic English.srt	6.4 KB
8 - A Breakdown of our Data Science Infographic.mp4	78.0 MB
/20 - Statistics Hypothesis Testing/
120 - Course-notes-hypothesis-testing.pdf	672.2 KB
120 - Null vs Alternative Hypothesis English.srt	9.1 KB
120 - Null vs Alternative Hypothesis.mp4	53.2 MB
121 - Further Reading on Null and Alternative Hypothesis.html	2.3 KB
122 - Course-notes-hypothesis-testing.pdf	672.2 KB
122 - Rejection Region and Significance Level English.srt	11.0 KB
122 - Rejection Region and Significance Level.mp4	62.3 MB
123 - Type I Error and Type II Error English.srt	7.0 KB
123 - Type I Error and Type II Error.mp4	26.6 MB
124 - 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx	11.2 KB
124 - Test for the Mean Population Variance Known English.srt	10.4 KB
124 - Test for the Mean Population Variance Known.mp4	31.4 MB
125 - 4.4.Test-for-the-mean.Population-variance-known-exercise-solution.xlsx	11.5 KB
125 - 4.4.Test-for-the-mean.Population-variance-known-exercise.xlsx	11.3 KB
125 - Test for the Mean Population Variance Known Exercise.html	0.1 KB
126 - Online-p-value-calculator.pdf	1.2 MB
126 - pvalue English.srt	6.7 KB
126 - pvalue.mp4	54.2 MB
127 - 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx	14.9 KB
127 - Test for the Mean Population Variance Unknown English.srt	7.6 KB
127 - Test for the Mean Population Variance Unknown.mp4	37.8 MB
128 - 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx	12.9 KB
128 - 4.6.Test-for-the-mean.Population-variance-unknown-exercise.xlsx	11.6 KB
128 - Test for the Mean Population Variance Unknown Exercise.html	0.1 KB
129 - 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx	10.0 KB
129 - Test for the Mean Dependent Samples English.srt	8.7 KB
129 - Test for the Mean Dependent Samples.mp4	69.5 MB
130 - 4.7.Test-for-the-mean.Dependent-samples-exercise-solution.xlsx	14.7 KB
130 - 4.7.Test-for-the-mean.Dependent-samples-exercise.xlsx	13.1 KB
130 - Test for the Mean Dependent Samples Exercise.html	0.1 KB
131 - 4.8.Test-for-the-mean.Independent-samples-Part-1-lesson.xlsx	9.9 KB
131 - Test for the mean Independent Samples Part 1 English.srt	7.0 KB
131 - Test for the mean Independent Samples Part 1.mp4	29.6 MB
132 - 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx	11.5 KB
132 - 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx	11.0 KB
132 - Test for the mean Independent Samples Part 1 Exercise.html	0.1 KB
133 - 4.9.Test-for-the-mean.Independent-samples-Part-2-lesson.xlsx	9.5 KB
133 - Test for the mean Independent Samples Part 2 English.srt	6.9 KB
133 - Test for the mean Independent Samples Part 2.mp4	49.2 MB
134 - 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx	11.7 KB
134 - 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx	10.8 KB
134 - Test for the mean Independent Samples Part 2 Exercise.html	0.1 KB
/21 - Statistics Practical Example Hypothesis Testing/
135 - 4.10.Hypothesis-testing-section-practical-example.xlsx	53.1 KB
135 - Practical Example Hypothesis Testing English.srt	11.0 KB
135 - Practical Example Hypothesis Testing.mp4	89.0 MB
136 - 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx	45.3 KB
136 - 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx	44.7 KB
136 - Practical Example Hypothesis Testing Exercise.html	0.1 KB
/22 - Part 4 Introduction to Python/
137 - Introduction to Programming English.srt	9.3 KB
137 - Introduction to Programming.mp4	23.7 MB
137 - Introduction-to-Python-Course-Notes.pdf	2.3 MB
138 - Why Python English.srt	9.2 KB
138 - Why Python.mp4	19.8 MB
139 - Why Jupyter English.srt	6.3 KB
139 - Why Jupyter.mp4	12.8 MB
140 - Installing Python and Jupyter English.srt	11.8 KB
140 - Installing Python and Jupyter.mp4	67.8 MB
141 - Understanding Jupyters Interface the Notebook Dashboard English.srt	4.7 KB
141 - Understanding Jupyters Interface the Notebook Dashboard.mp4	9.8 MB
142 - Prerequisites for Coding in the Jupyter Notebooks English.srt	10.0 KB
142 - Prerequisites for Coding in the Jupyter Notebooks.mp4	38.8 MB
/23 - Python Variables and Data Types/
143 - Introduction-to-Python-Course-Notes.pdf	2.3 MB
143 - Variables English.srt	6.2 KB
143 - Variables-Exercise-Py3.ipynb	2.3 KB
143 - Variables-Lecture-Py3.ipynb	3.7 KB
143 - Variables-Solution-Py3.ipynb	3.9 KB
143 - Variables.mp4	16.5 MB
144 - Numbers and Boolean Values in Python English.srt	4.9 KB
144 - Numbers and Boolean Values in Python.mp4	10.7 MB
144 - Numbers-and-Boolean-Values-Exercise-Py3.ipynb	2.3 KB
144 - Numbers-and-Boolean-Values-Lecture-Py3.ipynb	3.4 KB
144 - Numbers-and-Boolean-Values-Solution-Py3.ipynb	3.3 KB
145 - Python Strings English.srt	9.9 KB
145 - Python Strings.mp4	40.4 MB
145 - Strings-Exercise-Py3.ipynb	2.7 KB
145 - Strings-Lecture-Py3.ipynb	7.7 KB
145 - Strings-Solution-Py3.ipynb	5.6 KB
/24 - Python Basic Python Syntax/
146 - Arithmetic-Operators-Exercise-Py3.ipynb	2.7 KB
146 - Arithmetic-Operators-Lecture-Py3.ipynb	3.6 KB
146 - Arithmetic-Operators-Solution-Py3.ipynb	4.3 KB
146 - Using Arithmetic Operators in Python English.srt	5.6 KB
146 - Using Arithmetic Operators in Python.mp4	15.6 MB
147 - The Double Equality Sign English.srt	2.4 KB
147 - The Double Equality Sign.mp4	4.4 MB
147 - The-Double-Equality-Sign-Exercise-Py3.ipynb	0.8 KB
147 - The-Double-Equality-Sign-Lecture-Py3.ipynb	1.5 KB
147 - The-Double-Equality-Sign-Solution-Py3.ipynb	1.2 KB
148 - How to Reassign Values English.srt	1.7 KB
148 - How to Reassign Values.mp4	3.0 MB
148 - Reassign-Values-Exercise-Py3.ipynb	1.7 KB
148 - Reassign-Values-Lecture-Py3.ipynb	3.2 KB
148 - Reassign-Values-Solution-Py3.ipynb	2.2 KB
149 - Add Comments English.srt	2.5 KB
149 - Add Comments.mp4	4.0 MB
149 - Add-Comments-Lecture-Py3.ipynb	1.1 KB
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155 - Introduction-to-the-If-Statement-Solution-Py3.ipynb	2.2 KB
155 - The IF Statement English.srt	4.8 KB
155 - The IF Statement.mp4	9.2 MB
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156 - Add-an-Else-Statement-Lecture-Py3.ipynb	1.8 KB
156 - Add-an-Else-Statement-Solution-Py3.ipynb	1.4 KB
156 - The ELSE Statement English.srt	4.1 KB
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158 - A Note on Boolean Values English.srt	4.0 KB
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159 - Defining a Function in Python.mp4	5.4 MB
159 - Defining-a-Function-in-Python-Lecture-Py3.ipynb	0.9 KB
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160 - Creating-a-Function-with-a-Parameter-Solution-Py3.ipynb	1.8 KB
160 - How to Create a Function with a Parameter English.srt	5.8 KB
160 - How to Create a Function with a Parameter.mp4	14.9 MB
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161 - Another-Way-to-Define-a-Function-Lecture-Py3.ipynb	3.4 KB
161 - Another-Way-to-Define-a-Function-Solution-Py3.ipynb	2.0 KB
161 - Defining a Function in Python Part II English.srt	3.9 KB
161 - Defining a Function in Python Part II.mp4	12.1 MB
162 - 0.6.4-Using-a-Function-in-another-Function-Exercise-Py3.ipynb	1.1 KB
162 - 0.6.4-Using-a-Function-in-another-Function-Lecture-Py3.ipynb	1.0 KB
162 - 0.6.4-Using-a-Function-in-another-Function-Solution-Py3.ipynb	1.6 KB
162 - How to Use a Function within a Function English.srt	2.7 KB
162 - How to Use a Function within a Function.mp4	5.4 MB
163 - Combining-Conditional-Statements-and-Functions-Exercise-Py3.ipynb	1.1 KB
163 - Combining-Conditional-Statements-and-Functions-Lecture-Py3.ipynb	1.3 KB
163 - Combining-Conditional-Statements-and-Functions-Solution-Py3.ipynb	1.7 KB
163 - Conditional Statements and Functions English.srt	4.6 KB
163 - Conditional Statements and Functions.mp4	10.3 MB
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164 - Functions Containing a Few Arguments English.srt	1.9 KB
164 - Functions Containing a Few Arguments.mp4	5.1 MB
165 - Builtin Functions in Python English.srt	5.5 KB
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165 - Notable-Built-In-Functions-in-Python-Exercise-Py3.ipynb	3.7 KB
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166 - Lists English.srt	13.4 KB
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166 - Lists-Solution-Py3.ipynb	3.3 KB
166 - Lists.mp4	43.0 MB
167 - List Slicing English.srt	7.0 KB
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167 - List-Slicing-Exercise-Py3.ipynb	2.9 KB
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167 - List-Slicing-Solution-Py3.ipynb	4.4 KB
168 - Tuples English.srt	9.6 KB
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170 - For Loops English.srt	8.6 KB
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170 - For-Loops-Exercise-Py3.ipynb	1.3 KB
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171 - While Loops and Incrementing English.srt	7.8 KB
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171 - While-Loops-and-Incrementing-Exercise-Py3.ipynb	1.1 KB
171 - While-Loops-and-Incrementing-Lecture-Py3.ipynb	1.1 KB
171 - While-Loops-and-Incrementing-Solution-Py3.ipynb	1.8 KB
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172 - Create-Lists-with-the-range-Function-Lecture-Py3.ipynb	1.4 KB
172 - Create-Lists-with-the-range-Function-Solution-Py3.ipynb	2.3 KB
172 - Lists with the range Function English.srt	11.0 KB
172 - Lists with the range Function.mp4	40.3 MB
173 - Conditional Statements and Loops English.srt	10.2 KB
173 - Conditional Statements and Loops.mp4	27.3 MB
173 - Use-Conditional-Statements-and-Loops-Together-Exercise-Py3.ipynb	2.1 KB
173 - Use-Conditional-Statements-and-Loops-Together-Lecture-Py3.ipynb	2.0 KB
173 - Use-Conditional-Statements-and-Loops-Together-Solution-Py3.ipynb	3.0 KB
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174 - All-In-Lecture-Py3.ipynb	1.7 KB
174 - All-In-Solution-Py3.ipynb	1.9 KB
174 - Conditional Statements Functions and Loops English.srt	3.2 KB
174 - Conditional Statements Functions and Loops.mp4	6.8 MB
175 - How to Iterate over Dictionaries English.srt	10.0 KB
175 - How to Iterate over Dictionaries.mp4	29.1 MB
175 - Iterating-over-Dictionaries-Exercise-Py3.ipynb	2.2 KB
175 - Iterating-over-Dictionaries-Lecture-Py3.ipynb	1.1 KB
175 - Iterating-over-Dictionaries-Solution-Py3.ipynb	2.9 KB
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176 - Object Oriented Programming English.srt	9.0 KB
176 - Object Oriented Programming.mp4	12.4 MB
177 - Modules and Packages English.srt	1.8 KB
177 - Modules and Packages.mp4	3.1 MB
178 - What is the Standard Library English.srt	4.9 KB
178 - What is the Standard Library.mp4	7.5 MB
179 - Importing Modules in Python English.srt	6.3 KB
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180 - Course-notes-regression-analysis.pdf	319.7 KB
180 - Introduction to Regression Analysis English.srt	3.0 KB
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181 - Course-notes-regression-analysis.pdf	319.7 KB
181 - The Linear Regression Model English.srt	10.8 KB
181 - The Linear Regression Model.mp4	21.9 MB
182 - Correlation vs Regression English.srt	2.8 KB
182 - Correlation vs Regression.mp4	5.9 MB
183 - Geometrical Representation of the Linear Regression Model English.srt	2.2 KB
183 - Geometrical Representation of the Linear Regression Model.mp4	3.3 MB
184 - Python Packages Installation English.srt	7.1 KB
184 - Python Packages Installation.mp4	47.6 MB
185 - 1.01.Simple-linear-regression.csv	0.9 KB
185 - First Regression in Python English.srt	10.6 KB
185 - First Regression in Python.mp4	58.7 MB
185 - Simple-linear-regression-with-comments.ipynb	4.2 KB
185 - Simple-linear-regression.ipynb	3.9 KB
186 - First Regression in Python Exercise.html	1.4 KB
186 - Simple-Linear-Regression-Exercise-Solution.ipynb	3.7 KB
186 - Simple-Linear-Regression-Exercise.ipynb	2.8 KB
186 - real-estate-price-size.csv	1.9 KB
187 - Using Seaborn for Graphs English.srt	2.0 KB
187 - Using Seaborn for Graphs.mp4	14.9 MB
188 - How to Interpret the Regression Table English.srt	8.1 KB
188 - How to Interpret the Regression Table.mp4	57.0 MB
189 - Decomposition of Variability English.srt	5.7 KB
189 - Decomposition of Variability.mp4	14.6 MB
190 - What is the OLS English.srt	4.8 KB
190 - What is the OLS.mp4	54.9 MB
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192 - Multiple Linear Regression English.srt	4.4 KB
192 - Multiple Linear Regression.mp4	8.7 MB
193 - 1.02.Multiple-linear-regression.csv	1.1 KB
193 - Adjusted RSquared English.srt	9.6 KB
193 - Adjusted RSquared.mp4	70.4 MB
193 - Multiple-linear-regression-and-Adjusted-R-squared-with-comments.ipynb	2.9 KB
193 - Multiple-linear-regression-and-Adjusted-R-squared.ipynb	2.2 KB
194 - Multiple Linear Regression Exercise.html	0.1 KB
194 - Multiple-Linear-Regression-Exercise-Solution.ipynb	13.7 KB
194 - Multiple-Linear-Regression-Exercise.ipynb	2.5 KB
194 - real-estate-price-size-year.csv	2.4 KB
195 - Test for Significance of the Model FTest English.srt	3.1 KB
195 - Test for Significance of the Model FTest.mp4	12.4 MB
196 - OLS Assumptions English.srt	3.9 KB
196 - OLS Assumptions.mp4	8.2 MB
197 - A1 Linearity English.srt	3.2 KB
197 - A1 Linearity.mp4	5.3 MB
198 - A2 No Endogeneity English.srt	7.2 KB
198 - A2 No Endogeneity.mp4	14.6 MB
199 - A3 Normality and Homoscedasticity English.srt	9.1 KB
199 - A3 Normality and Homoscedasticity.mp4	58.3 MB
200 - A4 No Autocorrelation English.srt	6.4 KB
200 - A4 No Autocorrelation.mp4	12.5 MB
201 - A5 No Multicollinearity English.srt	5.8 KB
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202 - 1.03.Dummies.csv	1.2 KB
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202 - Dealing with Categorical Data Dummy Variables.mp4	72.6 MB
202 - Dummy-Variables.ipynb	4.7 KB
202 - Dummy-variables-with-comments.ipynb	7.3 KB
203 - Dealing with Categorical Data Dummy Variables.html	0.1 KB
203 - Multiple-Linear-Regression-with-Dummies-Exercise-Solution.ipynb	18.4 KB
203 - Multiple-Linear-Regression-with-Dummies-Exercise.ipynb	3.1 KB
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204 - Making Predictions with the Linear Regression English.srt	5.7 KB
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205 - What is sklearn and How is it Different from Other Packages.mp4	15.5 MB
206 - How are we Going to Approach this Section English.srt	3.8 KB
206 - How are we Going to Approach this Section.mp4	7.9 MB
207 - 1.01.Simple-linear-regression.csv	0.9 KB
207 - Simple Linear Regression with sklearn English.srt	9.7 KB
207 - Simple Linear Regression with sklearn.mp4	62.6 MB
207 - sklearn-Simple-Linear-Regression-with-comments.ipynb	6.2 KB
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208 - Simple Linear Regression with sklearn A StatsModelslike Summary Table.mp4	44.4 MB
208 - sklearn-Simple-Linear-Regression-with-comments.ipynb	29.0 KB
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209 - A Note on Normalization.html	0.7 KB
210 - Simple Linear Regression with sklearn Exercise.html	0.1 KB
210 - Simple-Linear-Regression-with-sklearn-Exercise-Solution.ipynb	27.2 KB
210 - Simple-Linear-Regression-with-sklearn-Exercise.ipynb	4.2 KB
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211 - Multiple Linear Regression with sklearn English.srt	5.4 KB
211 - Multiple Linear Regression with sklearn.mp4	19.9 MB
211 - sklearn-Multiple-Linear-Regression-with-comments.ipynb	8.9 KB
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212 - 1.02.Multiple-linear-regression.csv	1.1 KB
212 - Calculating the Adjusted RSquared in sklearn English.srt	8.5 KB
212 - Calculating the Adjusted RSquared in sklearn.mp4	42.6 MB
212 - sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-with-comments.ipynb	10.7 KB
212 - sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared.ipynb	9.3 KB
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213 - sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise-Solution.ipynb	10.6 KB
213 - sklearn-Multiple-Linear-Regression-and-Adjusted-R-squared-Exercise.ipynb	10.1 KB
214 - 1.02.Multiple-linear-regression.csv	1.1 KB
214 - Feature Selection Fregression English.srt	8.9 KB
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214 - sklearn-Feature-Selection-with-F-regression-with-comments.ipynb	13.3 KB
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215 - sklearn-How-to-properly-include-p-values.ipynb	13.0 KB
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216 - Creating a Summary Table with Pvalues English.srt	3.9 KB
216 - Creating a Summary Table with Pvalues.mp4	11.2 MB
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218 - sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-1.ipynb	12.0 KB
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219 - SKLEAR-1.IPY	17.2 KB
219 - sklearn-Feature-Selection-through-Feature-Scaling-Standardization-Part-2.ipynb	15.3 KB
220 - 1.02.Multiple-linear-regression.csv	1.1 KB
220 - Predicting with the Standardized Coefficients English.srt	7.1 KB
220 - Predicting with the Standardized Coefficients.mp4	43.0 MB
220 - sklearn-Making-Predictions-with-the-Standardized-Coefficients-with-comments.ipynb	22.6 KB
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222 - Underfitting and Overfitting English.srt	4.8 KB
222 - Underfitting and Overfitting.mp4	8.6 MB
223 - Train Test Split Explained English.srt	12.5 KB
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223 - sklearn-Train-Test-Split-with-comments.ipynb	9.3 KB
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224 - Practical Example Linear Regression Part 1 English.srt	19.2 KB
224 - Practical Example Linear Regression Part 1.mp4	184.7 MB
224 - sklearn-Linear-Regression-Practical-Example-Part-1-with-comments.ipynb	175.5 KB
224 - sklearn-Linear-Regression-Practical-Example-Part-1.ipynb	170.9 KB
225 - 1.04.Real-life-example.csv	225.1 KB
225 - Practical Example Linear Regression Part 2 English.srt	10.6 KB
225 - Practical Example Linear Regression Part 2.mp4	64.9 MB
225 - sklearn-Linear-Regression-Practical-Example-Part-2-with-comments.ipynb	343.7 KB
225 - sklearn-Linear-Regression-Practical-Example-Part-2.ipynb	336.6 KB
226 - A Note on Multicollinearity.html	0.8 KB
227 - Practical Example Linear Regression Part 3 English.srt	5.7 KB
227 - Practical Example Linear Regression Part 3.mp4	19.1 MB
227 - sklearn Linear Regression Practical Example Part 3.txt	0.1 KB
227 - sklearn-Linear-Regression-Practical-Example-Part-3-with-comments.ipynb	359.9 KB
227 - sklearn-Linear-Regression-Practical-Example-Part-3.ipynb	351.8 KB
228 - 1.04.Real-life-example.csv	225.1 KB
228 - Dummies and Variance Inflation Factor Exercise.html	0.1 KB
228 - sklearn-Dummies-and-VIF-Exercise-Solution.ipynb	379.1 KB
228 - sklearn-Dummies-and-VIF-Exercise.ipynb	352.9 KB
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229 - Practical Example Linear Regression Part 4 English.srt	15.2 KB
229 - Practical Example Linear Regression Part 4.mp4	79.2 MB
229 - sklearn-Linear-Regression-Practical-Example-Part-4-with-comments.ipynb	417.4 KB
229 - sklearn-Linear-Regression-Practical-Example-Part-4.ipynb	406.8 KB
230 - Dummy Variables Exercise.html	0.7 KB
231 - 1.04.Real-life-example.csv	225.1 KB
231 - Practical Example Linear Regression Part 5 English.srt	14.3 KB
231 - Practical Example Linear Regression Part 5.mp4	108.0 MB
231 - sklearn-Linear-Regression-Practical-Example-Part-5-with-comments.ipynb	728.1 KB
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233 - Course-Notes-Logistic-Regression.pdf	343.2 KB
233 - Introduction to Logistic Regression English.srt	2.3 KB
233 - Introduction to Logistic Regression.mp4	10.9 MB
234 - 2.01.Admittance.csv	1.6 KB
234 - A Simple Example in Python English.srt	7.5 KB
234 - A Simple Example in Python.mp4	44.6 MB
234 - Admittance-with-comments.ipynb	5.4 KB
234 - Admittance.ipynb	3.6 KB
234 - Course-Notes-Logistic-Regression.pdf	343.2 KB
235 - Logistic vs Logit Function English.srt	6.4 KB
235 - Logistic vs Logit Function.mp4	43.4 MB
236 - Admittance-regression-summary-error.ipynb	2.5 KB
236 - Admittance-regression-tables-fixed-error.ipynb	4.2 KB
236 - Admittance-regression.ipynb	2.1 KB
236 - Building a Logistic Regression English.srt	4.5 KB
236 - Building a Logistic Regression.mp4	15.4 MB
237 - Building a Logistic Regression Exercise.html	0.1 KB
237 - Building-a-Logistic-Regression-Exercise.ipynb	3.0 KB
237 - Building-a-Logistic-Regression-Solution.ipynb	4.6 KB
237 - Example-bank-data.csv	6.4 KB
238 - An Invaluable Coding Tip English.srt	4.0 KB
238 - An Invaluable Coding Tip.mp4	39.6 MB
239 - Understanding Logistic Regression Tables English.srt	7.1 KB
239 - Understanding Logistic Regression Tables.mp4	25.3 MB
240 - Bank-data.csv	20.0 KB
240 - Understanding Logistic Regression Tables Exercise.html	0.1 KB
240 - Understanding-Logistic-Regression-Tables-Exercise.ipynb	3.2 KB
240 - Understanding-Logistic-Regression-Tables-Solution.ipynb	4.9 KB
241 - What do the Odds Actually Mean English.srt	5.6 KB
241 - What do the Odds Actually Mean.mp4	18.4 MB
242 - 2.02.Binary-predictors.csv	2.6 KB
242 - Binary Predictors in a Logistic Regression English.srt	6.7 KB
242 - Binary Predictors in a Logistic Regression.mp4	33.6 MB
242 - Binary-predictors.ipynb	2.5 KB
243 - Bank-data.csv	20.0 KB
243 - Binary Predictors in a Logistic Regression Exercise.html	0.1 KB
243 - Binary-Predictors-in-a-Logistic-Regression-Exercise.ipynb	2.6 KB
243 - Binary-Predictors-in-a-Logistic-Regression-Solution.ipynb	4.6 KB
244 - Accuracy-with-comments.ipynb	12.0 KB
244 - Accuracy.ipynb	3.7 KB
244 - Calculating the Accuracy of the Model English.srt	5.5 KB
244 - Calculating the Accuracy of the Model.mp4	39.7 MB
245 - Bank-data.csv	20.0 KB
245 - Calculating the Accuracy of the Model.html	0.1 KB
245 - Calculating-the-Accuracy-of-the-Model-Exercise.ipynb	5.5 KB
245 - Calculating-the-Accuracy-of-the-Model-Solution.ipynb	83.2 KB
246 - Underfitting and Overfitting English.srt	6.6 KB
246 - Underfitting and Overfitting.mp4	11.1 MB
247 - 2.03.Test-dataset.csv	0.3 KB
247 - Testing the Model English.srt	8.3 KB
247 - Testing the Model.mp4	43.2 MB
247 - Testing-the-model-with-comments.ipynb	7.7 KB
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248 - Bank-data-testing.csv	8.5 KB
248 - Bank-data.csv	20.0 KB
248 - Testing the Model Exercise.html	0.1 KB
248 - Testing-the-Model-Exercise.ipynb	7.0 KB
248 - Testing-the-Model-Solution.ipynb	113.8 KB
/37 - Advanced Statistical Methods Cluster Analysis/
249 - Course-Notes-Cluster-Analysis.pdf	213.7 KB
249 - Introduction to Cluster Analysis English.srt	6.3 KB
249 - Introduction to Cluster Analysis.mp4	21.7 MB
250 - Course-Notes-Cluster-Analysis.pdf	213.7 KB
250 - Some Examples of Clusters English.srt	8.0 KB
250 - Some Examples of Clusters.mp4	51.3 MB
251 - Difference between Classification and Clustering English.srt	4.7 KB
251 - Difference between Classification and Clustering.mp4	13.8 MB
252 - Math Prerequisites English.srt	5.7 KB
252 - Math Prerequisites.mp4	7.5 MB
/38 - Advanced Statistical Methods KMeans Clustering/
253 - KMeans Clustering English.srt	8.4 KB
253 - KMeans Clustering.mp4	16.3 MB
254 - 3.01.Country-clusters.csv	0.2 KB
254 - A Simple Example of Clustering English.srt	12.6 KB
254 - A Simple Example of Clustering.mp4	68.6 MB
254 - Country-clusters-with-comments.ipynb	5.9 KB
254 - Country-clusters.ipynb	3.4 KB
255 - A Simple Example of Clustering Exercise.html	0.1 KB
255 - A-Simple-Example-of-Clustering-Exercise.ipynb	3.7 KB
255 - A-Simple-Example-of-Clustering-Solution.ipynb	4.8 KB
255 - Countries-exercise.csv	8.5 KB
256 - Categorical-data-with-comments.ipynb	5.8 KB
256 - Categorical-data.ipynb	3.4 KB
256 - Clustering Categorical Data English.srt	4.3 KB
256 - Clustering Categorical Data.mp4	19.0 MB
257 - Categorical.csv	10.6 KB
257 - Clustering Categorical Data Exercise.html	0.1 KB
257 - Clustering-Categorical-Data-Exercise.ipynb	3.9 KB
257 - Clustering-Categorical-Data-Solution.ipynb	5.0 KB
258 - How to Choose the Number of Clusters English.srt	9.7 KB
258 - How to Choose the Number of Clusters.mp4	57.1 MB
258 - Selecting-the-number-of-clusters-with-comments.ipynb	7.7 KB
258 - Selecting-the-number-of-clusters.ipynb	4.6 KB
259 - Countries-exercise.csv	8.5 KB
259 - How to Choose the Number of Clusters Exercise.html	0.1 KB
259 - How-to-Choose-the-Number-of-Clusters-Exercise.ipynb	5.7 KB
259 - How-to-Choose-the-Number-of-Clusters-Solution.ipynb	8.7 KB
260 - Pros and Cons of KMeans Clustering English.srt	5.8 KB
260 - Pros and Cons of KMeans Clustering.mp4	15.5 MB
261 - To Standardize or not to Standardize English.srt	8.0 KB
261 - To Standardize or not to Standardize.mp4	16.8 MB
262 - Relationship between Clustering and Regression English.srt	2.9 KB
262 - Relationship between Clustering and Regression.mp4	5.6 MB
263 - 3.12.Example.csv	0.3 KB
263 - Market Segmentation with Cluster Analysis Part 1 English.srt	9.6 KB
263 - Market Segmentation with Cluster Analysis Part 1.mp4	56.2 MB
263 - Market-segmentation-example-with-comments.ipynb	6.0 KB
263 - Market-segmentation-example.ipynb	3.9 KB
264 - Market Segmentation with Cluster Analysis Part 2 English.srt	11.7 KB
264 - Market Segmentation with Cluster Analysis Part 2.mp4	66.7 MB
264 - Market-segmentation-example-Part2-with-comments.ipynb	7.0 KB
264 - Market-segmentation-example-Part2.ipynb	4.8 KB
265 - How is Clustering Useful English.srt	8.6 KB
265 - How is Clustering Useful.mp4	53.4 MB
266 - EXERCISE Species Segmentation with Cluster Analysis Part 1.html	0.1 KB
266 - Species-Segmentation-with-Cluster-Analysis-Part-1-Exercise.ipynb	4.6 KB
266 - Species-Segmentation-with-Cluster-Analysis-Part-1-Solution.ipynb	7.5 KB
266 - iris-dataset.csv	2.5 KB
267 - EXERCISE Species Segmentation with Cluster Analysis Part 2.html	0.1 KB
267 - Species-Segmentation-with-Cluster-Analysis-Part-2-Exercise.ipynb	11.0 KB
267 - Species-Segmentation-with-Cluster-Analysis-Part-2-Solution.ipynb	15.7 KB
267 - iris-dataset.csv	2.5 KB
267 - iris-with-answers.csv	3.7 KB
/39 - Advanced Statistical Methods Other Types of Clustering/
268 - Types of Clustering English.srt	6.5 KB
268 - Types of Clustering.mp4	14.3 MB
269 - Dendrogram English.srt	9.7 KB
269 - Dendrogram.mp4	25.5 MB
270 - Country-clusters-standardized.csv	0.2 KB
270 - Heatmaps English.srt	7.9 KB
270 - Heatmaps-with-comments.ipynb	18.1 KB
270 - Heatmaps.ipynb	1.9 KB
270 - Heatmaps.mp4	35.9 MB
[CourseClub.Me].url	0.1 KB
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/4 - The Field of Data Science The Benefits of Each Discipline/
10 - The Reason Behind These Disciplines English.srt	8.3 KB
10 - The Reason Behind These Disciplines.mp4	95.3 MB
/40 - Part 6 Mathematics/
271 - What is a Matrix English.srt	5.9 KB
271 - What is a Matrix.mp4	17.3 MB
272 - Scalars and Vectors English.srt	5.2 KB
272 - Scalars and Vectors.mp4	13.5 MB
273 - Linear Algebra and Geometry English.srt	5.3 KB
273 - Linear Algebra and Geometry.mp4	22.4 MB
274 - Arrays in Python A Convenient Way To Represent Matrices English.srt	7.9 KB
274 - Arrays in Python A Convenient Way To Represent Matrices.mp4	39.1 MB
274 - Scalars-Vectors-and-Matrices.ipynb	4.7 KB
275 - Tensors.ipynb	2.1 KB
275 - What is a Tensor English.srt	4.8 KB
275 - What is a Tensor.mp4	35.1 MB
276 - Adding-and-subtracting-matrices.ipynb	3.3 KB
276 - Addition and Subtraction of Matrices English.srt	5.5 KB
276 - Addition and Subtraction of Matrices.mp4	52.1 MB
277 - Errors when Adding Matrices English.srt	3.4 KB
277 - Errors when Adding Matrices.mp4	10.0 MB
277 - Errors-when-adding-scalars-vectors-and-matrices-in-Python.ipynb	3.2 KB
278 - Tranpose-of-a-matrix.ipynb	3.0 KB
278 - Transpose of a Matrix English.srt	7.1 KB
278 - Transpose of a Matrix.mp4	44.3 MB
279 - Dot Product English.srt	5.5 KB
279 - Dot Product.mp4	26.1 MB
279 - Dot-product.ipynb	2.2 KB
280 - Dot Product of Matrices English.srt	11.7 KB
280 - Dot Product of Matrices.mp4	76.1 MB
280 - Dot-product-Part-2.ipynb	3.7 KB
281 - Why is Linear Algebra Useful English.srt	14.7 KB
281 - Why is Linear Algebra Useful.mp4	118.9 MB
/41 - Part 7 Deep Learning/
282 - What to Expect from this Part English.srt	6.2 KB
282 - What to Expect from this Part.mp4	19.3 MB
/42 - Deep Learning Introduction to Neural Networks/
283 - Course-Notes-Section-2.pdf	592.0 KB
283 - Introduction to Neural Networks English.srt	8.0 KB
283 - Introduction to Neural Networks.mp4	15.2 MB
284 - Course-Notes-Section-2.pdf	592.0 KB
284 - Training the Model English.srt	6.1 KB
284 - Training the Model.mp4	11.0 MB
285 - Types of Machine Learning English.srt	6.9 KB
285 - Types of Machine Learning.mp4	19.9 MB
286 - The Linear Model Linear Algebraic Version English.srt	4.7 KB
286 - The Linear Model Linear Algebraic Version.mp4	11.1 MB
287 - The Linear Model with Multiple Inputs English.srt	3.6 KB
287 - The Linear Model with Multiple Inputs.mp4	11.0 MB
288 - The Linear model with Multiple Inputs and Multiple Outputs English.srt	6.1 KB
288 - The Linear model with Multiple Inputs and Multiple Outputs.mp4	22.8 MB
289 - Graphical Representation of Simple Neural Networks English.srt	3.4 KB
289 - Graphical Representation of Simple Neural Networks.mp4	11.3 MB
290 - What is the Objective Function English.srt	2.9 KB
290 - What is the Objective Function.mp4	8.6 MB
291 - Common Objective Functions L2norm Loss English.srt	3.7 KB
291 - Common Objective Functions L2norm Loss.mp4	8.2 MB
292 - Common Objective Functions CrossEntropy Loss English.srt	6.9 KB
292 - Common Objective Functions CrossEntropy Loss.mp4	14.2 MB
293 - GD-function-example.xlsx	43.4 KB
293 - Optimization Algorithm 1Parameter Gradient Descent English.srt	11.2 KB
293 - Optimization Algorithm 1Parameter Gradient Descent.mp4	34.0 MB
294 - Optimization Algorithm nParameter Gradient Descent English.srt	9.9 KB
294 - Optimization Algorithm nParameter Gradient Descent.mp4	23.4 MB
/43 - Deep Learning How to Build a Neural Network from Scratch with NumPy/
295 - Basic NN Example Part 1 English.srt	5.8 KB
295 - Basic NN Example Part 1.mp4	15.7 MB
295 - Minimal-example-Part-1.ipynb	1.2 KB
295 - Shortcuts-for-Jupyter.pdf	634.0 KB
296 - Basic NN Example Part 2 English.srt	8.5 KB
296 - Basic NN Example Part 2.mp4	26.6 MB
296 - Minimal-example-Part-2.ipynb	3.7 KB
297 - Basic NN Example Part 3 English.srt	5.6 KB
297 - Basic NN Example Part 3.mp4	30.8 MB
297 - Minimal-example-Part-3.ipynb	7.0 KB
298 - Basic NN Example Part 4 English.srt	14.1 KB
298 - Basic NN Example Part 4.mp4	54.5 MB
298 - Minimal-example-Part-4-Complete.ipynb	11.7 KB
299 - Basic NN Example Exercises.html	1.7 KB
299 - Minimal-example-All-Exercises.ipynb	13.2 KB
299 - Minimal-example-Exercise-1-Solution.ipynb	70.7 KB
299 - Minimal-example-Exercise-2-Solution.ipynb	62.9 KB
299 - Minimal-example-Exercise-3.a.Solution.ipynb	69.5 KB
299 - Minimal-example-Exercise-3.b.Solution.ipynb	69.3 KB
299 - Minimal-example-Exercise-3.c.Solution.ipynb	71.8 KB
299 - Minimal-example-Exercise-3.d.Solution.ipynb	86.2 KB
299 - Minimal-example-Exercise-4-Solution.ipynb	68.1 KB
299 - Minimal-example-Exercise-5-Solution.ipynb	70.5 KB
299 - Minimal-example-Exercise-6-Solution.ipynb	63.2 KB
299 - Minimal-example-Exercise-6.ipynb	63.2 KB
/44 - Deep Learning TensorFlow 20 Introduction/
300 - How to Install TensorFlow 20 English.srt	8.4 KB
300 - How to Install TensorFlow 20.mp4	56.3 MB
300 - Shortcuts-for-Jupyter.pdf	634.0 KB
301 - TensorFlow Outline and Comparison with Other Libraries English.srt	7.0 KB
301 - TensorFlow Outline and Comparison with Other Libraries.mp4	22.7 MB
302 - TensorFlow 1 vs TensorFlow 2 English.srt	5.2 KB
302 - TensorFlow 1 vs TensorFlow 2.mp4	21.4 MB
303 - A Note on TensorFlow 2 Syntax English.srt	1.8 KB
303 - A Note on TensorFlow 2 Syntax.mp4	9.1 MB
304 - TensorFlow-Minimal-example-Part1.ipynb	1.7 KB
304 - Types of File Formats Supporting TensorFlow English.srt	4.4 KB
304 - Types of File Formats Supporting TensorFlow.mp4	15.5 MB
305 - Outlining the Model with TensorFlow 2 English.srt	10.8 KB
305 - Outlining the Model with TensorFlow 2.mp4	53.7 MB
305 - TensorFlow-Minimal-example-Part2.ipynb	9.3 KB
306 - Interpreting the Result and Extracting the Weights and Bias English.srt	8.7 KB
306 - Interpreting the Result and Extracting the Weights and Bias.mp4	52.6 MB
306 - TensorFlow-Minimal-example-Part3.ipynb	78.4 KB
307 - Customizing a TensorFlow 2 Model English.srt	5.6 KB
307 - Customizing a TensorFlow 2 Model.mp4	33.1 MB
307 - TensorFlow-Minimal-example-complete-with-comments.ipynb	84.3 KB
307 - TensorFlow-Minimal-example-complete.ipynb	78.7 KB
308 - Basic NN with TensorFlow Exercises.html	1.3 KB
308 - TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	85.7 KB
308 - TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	79.4 KB
308 - TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	86.5 KB
308 - TensorFlow-Minimal-example-All-exercises.ipynb	85.6 KB
308 - TensorFlow-Minimal-example-Exercise-1-Solution.ipynb	28.6 KB
/45 - Deep Learning Digging Deeper into NNs Introducing Deep Neural Networks/
309 - Course-Notes-Section-6.pdf	958.9 KB
309 - What is a Layer English.srt	3.4 KB
309 - What is a Layer.mp4	8.2 MB
310 - Course-Notes-Section-6.pdf	958.9 KB
310 - What is a Deep Net English.srt	4.1 KB
310 - What is a Deep Net.mp4	17.3 MB
311 - Digging into a Deep Net English.srt	8.8 KB
311 - Digging into a Deep Net.mp4	44.4 MB
312 - NonLinearities and their Purpose English.srt	5.5 KB
312 - NonLinearities and their Purpose.mp4	38.5 MB
313 - Activation Functions English.srt	6.7 KB
313 - Activation Functions.mp4	13.5 MB
314 - Activation Functions Softmax Activation English.srt	5.7 KB
314 - Activation Functions Softmax Activation.mp4	14.3 MB
315 - Backpropagation English.srt	5.8 KB
315 - Backpropagation.mp4	15.0 MB
316 - Backpropagation Picture English.srt	4.8 KB
316 - Backpropagation Picture.mp4	12.8 MB
317 - Backpropagation A Peek into the Mathematics of Optimization.html	0.5 KB
317 - Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf	186.8 KB
/46 - Deep Learning Overfitting/
318 - What is Overfitting English.srt	7.4 KB
318 - What is Overfitting.mp4	15.9 MB
319 - Underfitting and Overfitting for Classification English.srt	3.6 KB
319 - Underfitting and Overfitting for Classification.mp4	24.1 MB
320 - What is Validation English.srt	6.3 KB
320 - What is Validation.mp4	14.0 MB
321 - Training Validation and Test Datasets English.srt	4.4 KB
321 - Training Validation and Test Datasets.mp4	15.1 MB
322 - NFold Cross Validation English.srt	5.5 KB
322 - NFold Cross Validation.mp4	9.8 MB
323 - Early Stopping or When to Stop Training English.srt	8.8 KB
323 - Early Stopping or When to Stop Training.mp4	15.6 MB
/47 - Deep Learning Initialization/
324 - What is Initialization English.srt	4.8 KB
324 - What is Initialization.mp4	13.8 MB
325 - Types of Simple Initializations English.srt	4.8 KB
325 - Types of Simple Initializations.mp4	9.2 MB
326 - StateoftheArt Method Xavier Glorot Initialization English.srt	4.8 KB
326 - StateoftheArt Method Xavier Glorot Initialization.mp4	8.6 MB
/48 - Deep Learning Digging into Gradient Descent and Learning Rate Schedules/
327 - Stochastic Gradient Descent English.srt	6.2 KB
327 - Stochastic Gradient Descent.mp4	15.1 MB
328 - Problems with Gradient Descent English.srt	3.8 KB
328 - Problems with Gradient Descent.mp4	5.6 MB
329 - Momentum English.srt	4.5 KB
329 - Momentum.mp4	7.4 MB
330 - Learning Rate Schedules or How to Choose the Optimal Learning Rate English.srt	8.1 KB
330 - Learning Rate Schedules or How to Choose the Optimal Learning Rate.mp4	26.2 MB
331 - Learning Rate Schedules Visualized English.srt	2.8 KB
331 - Learning Rate Schedules Visualized.mp4	5.0 MB
332 - Adaptive Learning Rate Schedules AdaGrad and RMSprop English.srt	7.2 KB
332 - Adaptive Learning Rate Schedules AdaGrad and RMSprop.mp4	13.3 MB
333 - Adam Adaptive Moment Estimation English.srt	4.4 KB
333 - Adam Adaptive Moment Estimation.mp4	11.5 MB
/49 - Deep Learning Preprocessing/
334 - Preprocessing Introduction English.srt	5.2 KB
334 - Preprocessing Introduction.mp4	12.8 MB
335 - Types of Basic Preprocessing English.srt	2.4 KB
335 - Types of Basic Preprocessing.mp4	4.9 MB
336 - Standardization English.srt	7.9 KB
336 - Standardization.mp4	18.0 MB
337 - Preprocessing Categorical Data English.srt	3.6 KB
337 - Preprocessing Categorical Data.mp4	7.5 MB
338 - Binary and OneHot Encoding English.srt	6.9 KB
338 - Binary and OneHot Encoding.mp4	11.7 MB
/5 - The Field of Data Science Popular Data Science Techniques/
11 - Techniques for Working with Traditional Data English.srt	14.0 KB
11 - Techniques for Working with Traditional Data.mp4	173.6 MB
12 - Real Life Examples of Traditional Data English.srt	3.0 KB
12 - Real Life Examples of Traditional Data.mp4	27.7 MB
13 - Techniques for Working with Big Data English.srt	7.4 KB
13 - Techniques for Working with Big Data.mp4	105.8 MB
14 - Real Life Examples of Big Data English.srt	2.4 KB
14 - Real Life Examples of Big Data.mp4	18.2 MB
15 - Business Intelligence BI Techniques English.srt	11.2 KB
15 - Business Intelligence BI Techniques.mp4	73.1 MB
16 - Real Life Examples of Business Intelligence BI English.srt	2.8 KB
16 - Real Life Examples of Business Intelligence BI.mp4	42.8 MB
17 - Techniques for Working with Traditional Methods English.srt	14.8 KB
17 - Techniques for Working with Traditional Methods.mp4	118.2 MB
18 - Real Life Examples of Traditional Methods English.srt	4.6 KB
18 - Real Life Examples of Traditional Methods.mp4	44.8 MB
19 - Machine Learning ML Techniques English.srt	12.0 KB
19 - Machine Learning ML Techniques.mp4	69.0 MB
20 - Types of Machine Learning English.srt	13.8 KB
20 - Types of Machine Learning.mp4	114.1 MB
21 - Real Life Examples of Machine Learning ML English.srt	3.8 KB
21 - Real Life Examples of Machine Learning ML.mp4	28.1 MB
/50 - Deep Learning Classifying on the MNIST Dataset/
339 - MNIST The Dataset English.srt	4.6 KB
339 - MNIST The Dataset.mp4	7.0 MB
340 - MNIST How to Tackle the MNIST English.srt	4.6 KB
340 - MNIST How to Tackle the MNIST.mp4	13.4 MB
341 - MNIST Importing the Relevant Packages and Loading the Data English.srt	3.9 KB
341 - MNIST Importing the Relevant Packages and Loading the Data.mp4	24.1 MB
341 - TensorFlow-MNIST-Part1-with-comments.ipynb	4.1 KB
342 - MNIST Preprocess the Data Create a Validation Set and Scale It English.srt	8.3 KB
342 - MNIST Preprocess the Data Create a Validation Set and Scale It.mp4	45.8 MB
343 - MNIST Preprocess the Data Scale the Test Data Exercise.html	0.1 KB
343 - TensorFlow-MNIST-Part2-with-comments.ipynb	6.5 KB
344 - MNIST Preprocess the Data Shuffle and Batch English.srt	12.2 KB
344 - MNIST Preprocess the Data Shuffle and Batch.mp4	39.0 MB
345 - MNIST Preprocess the Data Shuffle and Batch Exercise.html	0.1 KB
345 - TensorFlow-MNIST-Part3-with-comments.ipynb	8.8 KB
346 - MNIST Outline the Model English.srt	9.1 KB
346 - MNIST Outline the Model.mp4	43.3 MB
346 - TensorFlow-MNIST-Part4-with-comments.ipynb	10.7 KB
347 - MNIST Select the Loss and the Optimizer English.srt	3.8 KB
347 - MNIST Select the Loss and the Optimizer.mp4	21.1 MB
347 - TensorFlow-MNIST-Part5-with-comments.ipynb	11.2 KB
348 - MNIST Learning English.srt	10.2 KB
348 - MNIST Learning.mp4	61.9 MB
348 - TensorFlow-MNIST-Part6-with-comments.ipynb	12.8 KB
349 - 1.TensorFlow-MNIST-Width-Solution.ipynb	15.2 KB
349 - 2.TensorFlow-MNIST-Depth-Solution.ipynb	15.7 KB
349 - 3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	15.7 KB
349 - 4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	15.5 KB
349 - 5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	15.1 KB
349 - 6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	15.5 KB
349 - 7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	15.5 KB
349 - 8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	21.1 KB
349 - 9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	16.2 KB
349 - MNIST Exercises.html	2.0 KB
349 - TensorFlow-MNIST-All-Exercises.ipynb	17.1 KB
349 - TensorFlow-MNIST-around-98-percent-accuracy.ipynb	15.4 KB
350 - MNIST Testing the Model English.srt	7.6 KB
350 - MNIST Testing the Model.mp4	45.5 MB
350 - TensorFlow-MNIST-complete-with-comments.ipynb	14.9 KB
350 - TensorFlow-MNIST-complete.ipynb	6.9 KB
/51 - Deep Learning Business Case Example/
351 - Audiobooks-data.csv	727.8 KB
351 - Business Case Exploring the Dataset and Identifying Predictors English.srt	14.2 KB
351 - Business Case Exploring the Dataset and Identifying Predictors.mp4	106.0 MB
352 - Business Case Outlining the Solution English.srt	2.4 KB
352 - Business Case Outlining the Solution.mp4	4.7 MB
353 - Business Case Balancing the Dataset English.srt	5.5 KB
353 - Business Case Balancing the Dataset.mp4	38.1 MB
354 - Business Case Preprocessing the Data English.srt	17.5 KB
354 - Business Case Preprocessing the Data.mp4	152.2 MB
354 - TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
354 - TensorFlow-Audiobooks-Preprocessing.ipynb	5.7 KB
355 - Business Case Preprocessing the Data Exercise.html	0.4 KB
355 - TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	10.3 KB
355 - TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	8.8 KB
356 - Business Case Load the Preprocessed Data English.srt	5.9 KB
356 - Business Case Load the Preprocessed Data.mp4	19.2 MB
357 - Business Case Load the Preprocessed Data Exercise.html	0.1 KB
357 - TensorFlow-Audiobooks-Machine-Learning-Part1-with-comments.ipynb	4.7 KB
358 - Business Case Learning and Interpreting the Result English.srt	8.2 KB
358 - Business Case Learning and Interpreting the Result.mp4	64.4 MB
358 - TensorFlow-Audiobooks-Machine-Learning-Part2-with-comments.ipynb	20.2 KB
359 - Business Case Setting an Early Stopping Mechanism English.srt	10.3 KB
359 - Business Case Setting an Early Stopping Mechanism.mp4	89.0 MB
359 - TensorFlow-Audiobooks-Machine-Learning-Part3-with-comments.ipynb	10.3 KB
360 - Setting an Early Stopping Mechanism Exercise.html	0.2 KB
361 - Business Case Testing the Model English.srt	2.7 KB
361 - Business Case Testing the Model.mp4	16.6 MB
361 - TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	12.2 KB
362 - Business Case Final Exercise.html	0.4 KB
362 - TensorFlow-Audiobooks-Machine-Learning-with-comments.ipynb	12.2 KB
/52 - Deep Learning Conclusion/
363 - Summary on What Youve Learned English.srt	6.9 KB
363 - Summary on What Youve Learned.mp4	14.9 MB
364 - Whats Further out there in terms of Machine Learning English.srt	3.4 KB
364 - Whats Further out there in terms of Machine Learning.mp4	7.1 MB
365 - DeepMind and Deep Learning.html	1.1 KB
366 - An overview of CNNs English.srt	8.0 KB
366 - An overview of CNNs.mp4	50.7 MB
367 - An Overview of RNNs English.srt	5.0 KB
367 - An Overview of RNNs.mp4	11.1 MB
368 - An Overview of nonNN Approaches English.srt	7.3 KB
368 - An Overview of nonNN Approaches.mp4	22.3 MB
[CourseClub.Me].url	0.1 KB
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/53 - Appendix Deep Learning TensorFlow 1 Introduction/
369 - READ ME.html	0.6 KB
370 - How to Install TensorFlow 1 English.srt	4.3 KB
370 - How to Install TensorFlow 1.mp4	9.2 MB
371 - A Note on Installing Packages in Anaconda.html	2.3 KB
372 - TensorFlow Intro English.srt	6.7 KB
372 - TensorFlow Intro.mp4	24.9 MB
373 - Actual Introduction to TensorFlow English.srt	3.0 KB
373 - Actual Introduction to TensorFlow.mp4	18.4 MB
373 - Shortcuts-for-Jupyter.pdf	634.0 KB
374 - 5.3.TensorFlow-Minimal-example-Part-1.ipynb	3.4 KB
374 - Types of File Formats supporting Tensors English.srt	4.4 KB
374 - Types of File Formats supporting Tensors.mp4	15.8 MB
375 - 5.4.TensorFlow-Minimal-example-Part-2.ipynb	6.3 KB
375 - Basic NN Example with TF Inputs Outputs Targets Weights Biases English.srt	10.3 KB
375 - Basic NN Example with TF Inputs Outputs Targets Weights Biases.mp4	30.5 MB
376 - 5.5.TensorFlow-Minimal-example-Part-3.ipynb	8.9 KB
376 - Basic NN Example with TF Loss Function and Gradient Descent English.srt	6.2 KB
376 - Basic NN Example with TF Loss Function and Gradient Descent.mp4	28.6 MB
377 - 5.6.TensorFlow-Minimal-example-complete.ipynb	12.4 KB
377 - Basic NN Example with TF Model Output English.srt	10.1 KB
377 - Basic NN Example with TF Model Output.mp4	29.6 MB
378 - Basic NN Example with TF Exercises.html	1.6 KB
378 - TensorFlow-Minimal-Example-All-Exercises.ipynb	14.3 KB
378 - TensorFlow-Minimal-Example-Exercise-1-Solution.ipynb	24.2 KB
378 - TensorFlow-Minimal-Example-Exercise-2-1-Solution.ipynb	26.2 KB
378 - TensorFlow-Minimal-Example-Exercise-2-2-Solution.ipynb	26.1 KB
378 - TensorFlow-Minimal-Example-Exercise-2-3-Solution.ipynb	51.2 KB
378 - TensorFlow-Minimal-Example-Exercise-2-4-Solution.ipynb	22.3 KB
378 - TensorFlow-Minimal-Example-Exercise-3-Solution.ipynb	27.4 KB
378 - TensorFlow-Minimal-Example-Exercise-4-Solution.ipynb	27.6 KB
/54 - Appendix Deep Learning TensorFlow 1 Classifying on the MNIST Dataset/
379 - MNIST What is the MNIST Dataset English.srt	4.6 KB
379 - MNIST What is the MNIST Dataset.mp4	7.3 MB
380 - MNIST How to Tackle the MNIST English.srt	4.9 KB
380 - MNIST How to Tackle the MNIST.mp4	13.0 MB
381 - 12.3.TensorFlow-MNIST-with-comments-Part-1.ipynb	4.0 KB
381 - MNIST Relevant Packages English.srt	2.8 KB
381 - MNIST Relevant Packages.mp4	22.3 MB
382 - 12.4.TensorFlow-MNIST-with-comments-Part-2.ipynb	6.2 KB
382 - MNIST Model Outline English.srt	11.8 KB
382 - MNIST Model Outline.mp4	68.9 MB
383 - 12.5.TensorFlow-MNIST-with-comments-Part-3.ipynb	7.5 KB
383 - MNIST Loss and Optimization Algorithm English.srt	4.5 KB
383 - MNIST Loss and Optimization Algorithm.mp4	31.7 MB
384 - 12.6.TensorFlow-MNIST-with-comments-Part-4.ipynb	8.1 KB
384 - Calculating the Accuracy of the Model English.srt	6.7 KB
384 - Calculating the Accuracy of the Model.mp4	34.2 MB
385 - 12.7.TensorFlow-MNIST-with-comments-Part-5.ipynb	8.7 KB
385 - MNIST Batching and Early Stopping English.srt	3.6 KB
385 - MNIST Batching and Early Stopping.mp4	19.8 MB
386 - 12.8.TensorFlow-MNIST-with-comments-Part-6.ipynb	11.8 KB
386 - MNIST Learning English.srt	13.4 KB
386 - MNIST Learning.mp4	62.9 MB
387 - 12.9.TensorFlow-MNIST-with-comments.ipynb	13.3 KB
387 - MNIST Results and Testing English.srt	10.5 KB
387 - MNIST Results and Testing.mp4	92.8 MB
388 - MNIST Exercises.html	2.2 KB
388 - TensorFlow-MNIST-Exercises-All.ipynb	15.8 KB
389 - 0.TensorFlow-MNIST-take-note-of-time-Solution.ipynb	14.3 KB
389 - 1.TensorFlow-MNIST-Width-Solution.ipynb	14.4 KB
389 - 2.TensorFlow-MNIST-Depth-Solution.ipynb	15.2 KB
389 - 3.TensorFlow-MNIST-Width-and-Depth-Solution.ipynb	17.2 KB
389 - 4.TensorFlow-MNIST-Activation-functions-Part-1-Solution.ipynb	14.7 KB
389 - 5.TensorFlow-MNIST-Activation-functions-Part-2-Solution.ipynb	14.3 KB
389 - 6.TensorFlow-MNIST-Batch-size-Part-1-Solution.ipynb	14.6 KB
389 - 7.TensorFlow-MNIST-Batch-size-Part-2-Solution.ipynb	14.5 KB
389 - 8.TensorFlow-MNIST-Learning-rate-Part-1-Solution.ipynb	14.4 KB
389 - 9.TensorFlow-MNIST-Learning-rate-Part-2-Solution.ipynb	15.6 KB
389 - MNIST Solutions.html	2.3 KB
389 - TensorFlow-MNIST-around-98-percent-accuracy.ipynb	18.1 KB
/55 - Appendix Deep Learning TensorFlow 1 Business Case/
390 - Audiobooks-data.csv	727.8 KB
390 - Business Case Getting Acquainted with the Dataset English.srt	14.1 KB
390 - Business Case Getting Acquainted with the Dataset.mp4	130.7 MB
391 - Business Case Outlining the Solution English.srt	3.3 KB
391 - Business Case Outlining the Solution.mp4	6.6 MB
392 - Audiobooks-data.csv	727.8 KB
392 - The Importance of Working with a Balanced Dataset English.srt	5.6 KB
392 - The Importance of Working with a Balanced Dataset.mp4	38.1 MB
393 - Audiobooks-data.csv	727.8 KB
393 - Business Case Preprocessing English.srt	17.4 KB
393 - Business Case Preprocessing.mp4	153.4 MB
393 - TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
393 - TensorFlow-Audiobooks-Preprocessing.ipynb	5.7 KB
394 - Audiobooks-data.csv	727.8 KB
394 - Business Case Preprocessing Exercise.html	0.4 KB
394 - TensorFlow-Audiobooks-Preprocessing-Exercise-Solution.ipynb	10.3 KB
394 - TensorFlow-Audiobooks-Preprocessing-Exercise.ipynb	8.8 KB
395 - Creating a Data Provider English.srt	10.6 KB
395 - Creating a Data Provider.mp4	115.6 MB
396 - Business Case Model Outline English.srt	9.2 KB
396 - Business Case Model Outline.mp4	93.8 MB
396 - TensorFlow-Audiobooks-Outlining-the-model-with-comments.ipynb	10.6 KB
396 - TensorFlow-Audiobooks-Outlining-the-model.ipynb	9.6 KB
397 - Business Case Optimization English.srt	8.9 KB
397 - Business Case Optimization.mp4	53.1 MB
397 - TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	13.0 KB
397 - TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	10.9 KB
398 - Business Case Interpretation English.srt	3.9 KB
398 - Business Case Interpretation.mp4	37.5 MB
398 - TensorFlow-Audiobooks-optimizing-the-algorithm-with-comments.ipynb	13.0 KB
398 - TensorFlow-Audiobooks-optimizing-the-algorithm.ipynb	10.9 KB
399 - Business Case Testing the Model English.srt	3.4 KB
399 - Business Case Testing the Model.mp4	7.5 MB
400 - Audiobooks-data.csv	727.8 KB
400 - Business Case A Comment on the Homework English.srt	6.8 KB
400 - Business Case A Comment on the Homework.mp4	33.8 MB
400 - TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	14.7 KB
400 - TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
401 - Audiobooks-data.csv	727.8 KB
401 - Business Case Final Exercise.html	0.4 KB
401 - TensorFlow-Audiobooks-Machine-learning-Homework.ipynb	14.7 KB
401 - TensorFlow-Audiobooks-Preprocessing-with-comments.ipynb	11.5 KB
/56 - Software Integration/
402 - What are Data Servers Clients Requests and Responses English.srt	8.0 KB
402 - What are Data Servers Clients Requests and Responses.mp4	33.0 MB
403 - What are Data Connectivity APIs and Endpoints English.srt	11.7 KB
403 - What are Data Connectivity APIs and Endpoints.mp4	91.4 MB
404 - Taking a Closer Look at APIs English.srt	13.9 KB
404 - Taking a Closer Look at APIs.mp4	102.2 MB
405 - Communication between Software Products through Text Files English.srt	7.5 KB
405 - Communication between Software Products through Text Files.mp4	36.1 MB
406 - Software Integration Explained English.srt	8.8 KB
406 - Software Integration Explained.mp4	65.5 MB
/57 - Case Study Whats Next in the Course/
407 - Game Plan for this Python SQL and Tableau Business Exercise English.srt	7.0 KB
407 - Game Plan for this Python SQL and Tableau Business Exercise.mp4	31.2 MB
408 - The Business Task English.srt	5.2 KB
408 - The Business Task.mp4	19.1 MB
409 - Introducing the Data Set English.srt	5.5 KB
409 - Introducing the Data Set.mp4	36.5 MB
/58 - Case Study Preprocessing the Absenteeismdata/
410 - Absenteeism-data.csv	32.8 KB
410 - What to Expect from the Following Sections.html	2.5 KB
410 - data-preprocessing-homework.pdf	137.7 KB
410 - df-preprocessed.csv	29.8 KB
411 - Importing the Absenteeism Data in Python English.srt	5.2 KB
411 - Importing the Absenteeism Data in Python.mp4	43.3 MB
412 - Checking the Content of the Data Set English.srt	9.1 KB
412 - Checking the Content of the Data Set.mp4	121.7 MB
413 - Introduction to Terms with Multiple Meanings English.srt	5.5 KB
413 - Introduction to Terms with Multiple Meanings.mp4	35.9 MB
414 - Whats Regression Analysis a Quick Refresher.html	2.9 KB
415 - Using a Statistical Approach towards the Solution to the Exercise English.srt	3.8 KB
415 - Using a Statistical Approach towards the Solution to the Exercise.mp4	18.7 MB
416 - Dropping a Column from a DataFrame in Python English.srt	10.6 KB
416 - Dropping a Column from a DataFrame in Python.mp4	84.6 MB
417 - EXERCISE Dropping a Column from a DataFrame in Python.html	0.9 KB
418 - SOLUTION Dropping a Column from a DataFrame in Python.html	0.1 KB
419 - Analyzing the Reasons for Absence English.srt	7.7 KB
419 - Analyzing the Reasons for Absence.mp4	56.5 MB
420 - Obtaining Dummies from a Single Feature English.srt	13.5 KB
420 - Obtaining Dummies from a Single Feature.mp4	159.1 MB
421 - EXERCISE Obtaining Dummies from a Single Feature.html	0.1 KB
422 - SOLUTION Obtaining Dummies from a Single Feature.html	0.1 KB
423 - Dropping a Dummy Variable from the Data Set.html	2.4 KB
424 - More on Dummy Variables A Statistical Perspective English.srt	2.2 KB
424 - More on Dummy Variables A Statistical Perspective.mp4	10.6 MB
425 - Classifying the Various Reasons for Absence English.srt	13.5 KB
425 - Classifying the Various Reasons for Absence.mp4	128.6 MB
426 - Using concat in Python English.srt	6.6 KB
426 - Using concat in Python.mp4	57.7 MB
427 - EXERCISE Using concat in Python.html	0.2 KB
428 - SOLUTION Using concat in Python.html	0.1 KB
429 - Reordering Columns in a Pandas DataFrame in Python English.srt	2.4 KB
429 - Reordering Columns in a Pandas DataFrame in Python.mp4	20.5 MB
430 - EXERCISE Reordering Columns in a Pandas DataFrame in Python.html	0.2 KB
431 - SOLUTION Reordering Columns in a Pandas DataFrame in Python.html	0.5 KB
432 - Absenteeism-Exercise-Preprocessing-df-reason-mod.ipynb	4.9 KB
432 - Creating Checkpoints while Coding in Jupyter English.srt	4.6 KB
432 - Creating Checkpoints while Coding in Jupyter.mp4	35.8 MB
433 - EXERCISE Creating Checkpoints while Coding in Jupyter.html	0.1 KB
434 - SOLUTION Creating Checkpoints while Coding in Jupyter.html	0.1 KB
435 - Analyzing the Dates from the Initial Data Set English.srt	11.3 KB
435 - Analyzing the Dates from the Initial Data Set.mp4	36.4 MB
436 - Extracting the Month Value from the Date Column English.srt	10.2 KB
436 - Extracting the Month Value from the Date Column.mp4	81.1 MB
437 - Extracting the Day of the Week from the Date Column English.srt	6.2 KB
437 - Extracting the Day of the Week from the Date Column.mp4	39.9 MB
438 - Absenteeism-Exercise-Preprocessing-ChP-df-date-reason-mod.ipynb	7.5 KB
438 - Absenteeism-Exercise-Preprocessing-LECTURES.ipynb	8.0 MB
438 - Absenteeism-Exercise-Removing-the-Date-Column-SOLUTION.ipynb	8.5 KB
438 - EXERCISE Removing the Date Column.html	1.2 KB
439 - Analyzing Several Straightforward Columns for this Exercise English.srt	5.8 KB
439 - Analyzing Several Straightforward Columns for this Exercise.mp4	27.5 MB
440 - Working on Education Children and Pets English.srt	7.7 KB
440 - Working on Education Children and Pets.mp4	37.4 MB
441 - Absenteeism-Exercise-EXERCISES-and-SOLUTIONS.ipynb	4.2 KB
441 - Absenteeism-Exercise-Preprocessing-df-preprocessed.ipynb	8.7 KB
441 - Final Remarks of this Section English.srt	3.4 KB
441 - Final Remarks of this Section.mp4	43.0 MB
442 - A Note on Exporting Your Data as a csv File.html	0.9 KB
/59 - Case Study Applying Machine Learning to Create the absenteeismmodule/
443 - Absenteeism-preprocessed.csv	29.8 KB
443 - Exploring the Problem with a Machine Learning Mindset English.srt	6.2 KB
443 - Exploring the Problem with a Machine Learning Mindset.mp4	20.9 MB
444 - Creating the Targets for the Logistic Regression English.srt	11.1 KB
444 - Creating the Targets for the Logistic Regression.mp4	66.6 MB
445 - Selecting the Inputs for the Logistic Regression English.srt	4.6 KB
445 - Selecting the Inputs for the Logistic Regression.mp4	15.5 MB
446 - Standardizing the Data English.srt	5.5 KB
446 - Standardizing the Data.mp4	30.0 MB
447 - Splitting the Data for Training and Testing English.srt	11.0 KB
447 - Splitting the Data for Training and Testing.mp4	73.3 MB
448 - Fitting the Model and Assessing its Accuracy English.srt	9.3 KB
448 - Fitting the Model and Assessing its Accuracy.mp4	76.7 MB
449 - Creating a Summary Table with the Coefficients and Intercept English.srt	8.0 KB
449 - Creating a Summary Table with the Coefficients and Intercept.mp4	54.8 MB
450 - Interpreting the Coefficients for Our Problem English.srt	11.0 KB
450 - Interpreting the Coefficients for Our Problem.mp4	84.2 MB
451 - Logistic Regression prior to Custom Scaler.txt	0.2 KB
451 - Standardizing only the Numerical Variables Creating a Custom Scaler English.srt	6.7 KB
451 - Standardizing only the Numerical Variables Creating a Custom Scaler.mp4	70.1 MB
452 - Interpreting the Coefficients of the Logistic Regression English.srt	9.5 KB
452 - Interpreting the Coefficients of the Logistic Regression.mp4	25.5 MB
453 - Backward Elimination or How to Simplify Your Model English.srt	6.8 KB
453 - Backward Elimination or How to Simplify Your Model.mp4	66.4 MB
453 - Logistic Regression prior to Backward Elimination.txt	0.2 KB
454 - Testing the Model We Created English.srt	8.3 KB
454 - Testing the Model We Created.mp4	64.2 MB
455 - Saving the Model and Preparing it for Deployment English.srt	7.3 KB
455 - Saving the Model and Preparing it for Deployment.mp4	52.6 MB
456 - ARTICLE A Note on pickling.html	2.2 KB
457 - EXERCISE Saving the Model and Scaler.html	0.3 KB
457 - Logistic Regression with Comments.txt	0.1 KB
457 - Logistic Regression.txt	0.1 KB
458 - Preparing the Deployment of the Model through a Module English.srt	7.6 KB
458 - Preparing the Deployment of the Model through a Module.mp4	57.5 MB
/6 - The Field of Data Science Popular Data Science Tools/
22 - Necessary Programming Languages and Software Used in Data Science English.srt	10.3 KB
22 - Necessary Programming Languages and Software Used in Data Science.mp4	138.5 MB
/60 - Case Study Loading the absenteeismmodule/
459 - Absenteeism-Exercise-Integration.ipynb	63.8 KB
459 - Absenteeism-new-data.csv	1.9 KB
459 - Are You Sure Youre All Set.html	0.5 KB
459 - absenteeism-module.py	6.8 KB
459 - model	1.0 KB
459 - scaler	1.9 KB
460 - Deploying the absenteeismmodule Part I English.srt	6.3 KB
460 - Deploying the absenteeismmodule Part I.mp4	41.2 MB
461 - Deploying the absenteeismmodule Part II English.srt	10.3 KB
461 - Deploying the absenteeismmodule Part II.mp4	105.6 MB
462 - Absenteeism-Exercise-Deploying-the-absenteeism-module.ipynb	1.0 KB
462 - Exporting the Obtained Data Set as a csv.html	1.0 KB
/61 - Case Study Analyzing the Predicted Outputs in Tableau/
463 - Absenteeism-predictions.csv	2.2 KB
463 - EXERCISE Age vs Probability.html	0.4 KB
464 - Absenteeism-predictions.csv	2.2 KB
464 - Analyzing Age vs Probability in Tableau English.srt	13.1 KB
464 - Analyzing Age vs Probability in Tableau.mp4	80.7 MB
465 - EXERCISE Reasons vs Probability.html	0.4 KB
466 - Analyzing Reasons vs Probability in Tableau English.srt	12.2 KB
466 - Analyzing Reasons vs Probability in Tableau.mp4	84.0 MB
467 - EXERCISE Transportation Expense vs Probability.html	0.6 KB
468 - Analyzing Transportation Expense vs Probability in Tableau English.srt	9.8 KB
468 - Analyzing Transportation Expense vs Probability in Tableau.mp4	36.7 MB
/62 - Appendix Additional Python Tools/
469 - Additional-Python-Tools-Exercises.ipynb	11.6 KB
469 - Additional-Python-Tools-Lectures.ipynb	13.8 KB
469 - Additional-Python-Tools-Solutions.ipynb	26.1 KB
469 - Using the format Method English.srt	16.2 KB
469 - Using the format Method.mp4	47.6 MB
470 - Iterating Over Range Objects English.srt	8.3 KB
470 - Iterating Over Range Objects.mp4	23.7 MB
471 - Introduction to Nested For Loops English.srt	10.9 KB
471 - Introduction to Nested For Loops.mp4	22.1 MB
472 - Triple Nested For Loops English.srt	10.9 KB
472 - Triple Nested For Loops.mp4	67.1 MB
473 - List Comprehensions English.srt	16.4 KB
473 - List Comprehensions.mp4	51.7 MB
474 - Additional-Python-Tools-Exercises.ipynb	11.6 KB
474 - Additional-Python-Tools-Lectures.ipynb	13.8 KB
474 - Additional-Python-Tools-Solutions.ipynb	26.1 KB
474 - Anonymous Lambda Functions English.srt	13.4 KB
474 - Anonymous Lambda Functions.mp4	43.5 MB
/63 - Appendix pandas Fundamentals/
475 - Introduction to pandas Series English.srt	13.9 KB
475 - Introduction to pandas Series.mp4	40.3 MB
475 - Lending-company.csv	115.1 KB
475 - Location.csv	13.8 KB
475 - Region.csv	10.5 KB
475 - Sales-products.csv	155.9 KB
475 - pandas-Fundamentals-Exercises.ipynb	31.7 KB
475 - pandas-Fundamentals-Lectures.ipynb	21.8 KB
475 - pandas-Fundamentals-Solutions.ipynb	121.2 KB
476 - A Note on Completing the Upcoming Coding Exercises.html	3.0 KB
477 - Working with Methods in Python Part I English.srt	9.2 KB
477 - Working with Methods in Python Part I.mp4	36.5 MB
478 - Working with Methods in Python Part II English.srt	5.0 KB
478 - Working with Methods in Python Part II.mp4	16.2 MB
479 - Parameters and Arguments in pandas English.srt	7.3 KB
479 - Parameters and Arguments in pandas.mp4	42.8 MB
480 - Using unique and nunique English.srt	7.4 KB
480 - Using unique and nunique.mp4	59.8 MB
481 - Using sortvalues English.srt	7.0 KB
481 - Using sortvalues.mp4	28.6 MB
482 - Introduction to pandas DataFrames Part I English.srt	9.4 KB
482 - Introduction to pandas DataFrames Part I.mp4	17.7 MB
483 - Introduction to pandas DataFrames Part II English.srt	10.2 KB
483 - Introduction to pandas DataFrames Part II.mp4	32.2 MB
484 - pandas DataFrames Common Attributes English.srt	8.3 KB
484 - pandas DataFrames Common Attributes.mp4	53.3 MB
485 - Data Selection in pandas DataFrames English.srt	13.5 KB
485 - Data Selection in pandas DataFrames.mp4	77.1 MB
486 - pandas DataFrames Indexing with iloc English.srt	10.7 KB
486 - pandas DataFrames Indexing with iloc.mp4	65.1 MB
487 - Lending-company.csv	115.1 KB
487 - Location.csv	13.8 KB
487 - Region.csv	10.5 KB
487 - Sales-products.csv	155.9 KB
487 - pandas DataFrames Indexing with loc English.srt	7.1 KB
487 - pandas DataFrames Indexing with loc.mp4	43.0 MB
487 - pandas-Fundamentals-Exercises.ipynb	31.7 KB
487 - pandas-Fundamentals-Lectures.ipynb	21.8 KB
487 - pandas-Fundamentals-Solutions.ipynb	121.2 KB
/64 - Appendix Working with Text Files in Python/
488 - An Introduction to Working with Files in Python English.srt	7.6 KB
488 - An Introduction to Working with Files in Python.mp4	17.3 MB
488 - Common-Naming-Conventions.pdf	659.2 KB
488 - Section Resources Working with Text Files.txt	0.1 KB
488 - Working-with-Text-Files-Lectures.ipynb	28.2 KB
489 - File vs File Object Reading vs Parsing Data English.srt	5.4 KB
489 - File vs File Object Reading vs Parsing Data.mp4	13.4 MB
490 - Structured SemiStructured and Unstructured Data English.srt	6.4 KB
490 - Structured SemiStructured and Unstructured Data.mp4	17.4 MB
491 - Text Files and Data Connectivity English.srt	6.0 KB
491 - Text Files and Data Connectivity.mp4	16.3 MB
492 - Importing Data in Python Principles English.srt	9.6 KB
492 - Importing Data in Python Principles.mp4	26.2 MB
493 - Plain Text Files Flat Files and More English.srt	8.8 KB
493 - Plain Text Files Flat Files and More.mp4	18.9 MB
494 - Text Files of Fixed Width English.srt	2.9 KB
494 - Text Files of Fixed Width.mp4	7.6 MB
495 - Common Naming Conventions English.srt	7.5 KB
495 - Common Naming Conventions.mp4	14.2 MB
495 - Common-Naming-Conventions.pdf	659.2 KB
496 - Importing Text Files open English.srt	17.3 KB
496 - Importing Text Files open.mp4	52.3 MB
496 - Importing-Text-Files-in-Python-open.ipynb	2.2 KB
496 - source.txt	0.0 KB
497 - Importing Text Files with open English.srt	9.5 KB
497 - Importing Text Files with open.mp4	53.9 MB
497 - Importing-Text-Files-in-Python-with-open.ipynb	2.5 KB
497 - source.txt	0.0 KB
498 - Importing csv Files Part I English.srt	11.3 KB
498 - Importing csv Files Part I.mp4	109.4 MB
498 - Importing.csv-Files-with-pandas-Part-I.ipynb	1.6 KB
498 - Lending-company-single-column-data.csv	117.2 KB
498 - Lending-company.csv	115.1 KB
499 - Importing csv Files Part II English.srt	4.9 KB
499 - Importing csv Files Part II.mp4	24.0 MB
500 - Importing csv Files Part III English.srt	11.8 KB
500 - Importing csv Files Part III.mp4	93.0 MB
501 - Importing Data with indexcol English.srt	5.1 KB
501 - Importing Data with indexcol.mp4	21.6 MB
502 - Importing Data with loadtxt and genfromtxt English.srt	18.9 KB
502 - Importing Data with loadtxt and genfromtxt.mp4	116.3 MB
502 - Importing-Text-Data-with-NumPy-Complete.ipynb	11.8 KB
502 - Importing-Text-Data-with-NumPy-Template.ipynb	2.3 KB
502 - Lending-Company-Numeric-Data-NAN.csv	29.3 KB
502 - Lending-Company-Numeric-Data.csv	30.2 KB
503 - Importing Data Partial Cleaning While Importing Data English.srt	12.4 KB
503 - Importing Data Partial Cleaning While Importing Data.mp4	90.5 MB
504 - Importing Data with NumPy Exercise.html	0.3 KB
504 - Importing-Text-Data-DSc-Exercise.ipynb	4.3 KB
504 - Importing-Text-Data-DSc-Solution.ipynb	25.0 KB
505 - Importing Data from json Files English.srt	9.6 KB
505 - Importing Data from json Files.mp4	167.5 MB
505 - Lending-company.json	218.7 KB
506 - An Introduction to Working with Excel Files in Python English.srt	7.1 KB
506 - An Introduction to Working with Excel Files in Python.mp4	92.4 MB
507 - Lending-company.xlsx	95.3 KB
507 - Working with Excel xlsx Data English.srt	3.6 KB
507 - Working with Excel xlsx Data.mp4	30.3 MB
508 - Importing Data in Python an Important Exercise English.srt	10.6 KB
508 - Importing Data in Python an Important Exercise.mp4	92.0 MB
509 - Customer-Gender.csv	7.6 KB
509 - Importing Data with the squeeze Method English.srt	5.9 KB
509 - Importing Data with the squeeze Method.mp4	48.3 MB
509 - Importing-Data-with-the-pandas-Squeeze-Method.ipynb	20.6 KB
510 - Importing Files in Jupyter English.srt	6.2 KB
510 - Importing Files in Jupyter.mp4	40.3 MB
511 - Saving Your Data with pandas English.srt	6.2 KB
511 - Saving Your Data with pandas.mp4	42.7 MB
512 - Lending-Company-Saving.csv	59.8 KB
512 - Saving Your Data with NumPy Part I npy English.srt	9.7 KB
512 - Saving Your Data with NumPy Part I npy.mp4	52.6 MB
512 - Saving-Data-NP-Complete.ipynb	10.1 KB
512 - Saving-Data-NP-Template.ipynb	3.2 KB
513 - Saving Your Data with NumPy Part II npz English.srt	8.5 KB
513 - Saving Your Data with NumPy Part II npz.mp4	34.0 MB
514 - Saving Your Data with NumPy Part III csv English.srt	6.9 KB
514 - Saving Your Data with NumPy Part III csv.mp4	42.7 MB
515 - Saving Data with Numpy Exercise.html	0.3 KB
515 - Saving-Data-NP-Exercise.ipynb	6.1 KB
515 - Saving-Data-NP-Solution.ipynb	13.7 KB
516 - Working with Text Files in Python Conclusion English.srt	1.4 KB
516 - Working with Text Files in Python Conclusion.mp4	3.1 MB
516 - Working-with-Text-Files-Lectures.ipynb	28.2 KB
/65 - Bonus Lecture/
517 - 365-Data-Science-Data-Science-Interview-Questions-Guide.pdf	16.3 MB
517 - Bonus Lecture Next Steps.html	4.4 KB
/7 - The Field of Data Science Careers in Data Science/
23 - Finding the Job What to Expect and What to Look for English.srt	6.0 KB
23 - Finding the Job What to Expect and What to Look for.mp4	61.3 MB
/8 - The Field of Data Science Debunking Common Misconceptions/
24 - Debunking Common Misconceptions English.srt	7.0 KB
24 - Debunking Common Misconceptions.mp4	100.9 MB
/9 - Part 2 Probability/
25 - Course-Notes-Basic-Probability.pdf	380.0 KB
25 - The Basic Probability Formula English.srt	11.3 KB
25 - The Basic Probability Formula.mp4	48.2 MB
26 - Computing Expected Values English.srt	8.9 KB
26 - Computing Expected Values.mp4	69.1 MB
27 - Frequency English.srt	8.9 KB
27 - Frequency.mp4	55.2 MB
28 - Events and Their Complements English.srt	9.1 KB
28 - Events and Their Complements.mp4	38.3 MB
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[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
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