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Download The Data Science Course 2020 - Complete Data Science Bootcamp

The Data Science Course 2020 Complete Data Science Bootcamp

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The Data Science Course 2020 - Complete Data Science Bootcamp

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1039

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/.../16 Statistics - Practical Example Descriptive Statistics/

093 Practical Example Descriptive Statistics.mp4

168.2 MB

093 2.13.Practical-example.Descriptive-statistics-lesson.xlsx

150.0 KB

093 Practical Example Descriptive Statistics.en.srt

21.3 KB

094 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx

149.9 KB

094 2.13.Practical-example.Descriptive-statistics-exercise.xlsx

123.2 KB

094 Practical Example Descriptive Statistics Exercise.html

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/

Visit Coursedrive.org.url

0.1 KB

ReadMe.txt

0.2 KB

/The Data Science Course 2020 - Complete Data Science Bootcamp/

ReadMe.txt

0.2 KB

Visit Coursedrive.org.url

0.1 KB

/.../01 Part 1 Introduction/

001 A Practical Example What You Will Learn in This Course.en.srt

6.5 KB

001 A Practical Example What You Will Learn in This Course.mp4

51.4 MB

002 What Does the Course Cover.en.srt

5.2 KB

002 What Does the Course Cover.mp4

65.3 MB

003 Download All Resources and Important FAQ.html

22.7 KB

003 FAQ-The-Data-Science-Course.pdf

313.4 KB

external-assets-links.txt

0.1 KB

ReadMe.txt

0.2 KB

Visit Coursedrive.org.url

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/.../02 The Field of Data Science - The Various Data Science Disciplines/

004 Data Science and Business Buzzwords Why are there so Many.en.srt

6.8 KB

004 Data Science and Business Buzzwords Why are there so Many.mp4

85.4 MB

005 What is the difference between Analysis and Analytics.en.srt

5.2 KB

005 What is the difference between Analysis and Analytics.mp4

56.2 MB

006 365-DataScience-Diagram.pdf

330.8 KB

006 Business Analytics Data Analytics and Data Science An Introduction.en.srt

10.9 KB

006 Business Analytics Data Analytics and Data Science An Introduction.mp4

67.6 MB

007 365-DataScience-Diagram.pdf

330.8 KB

007 365-DataScience.png

7.3 MB

007 Continuing with BI ML and AI.en.srt

12.2 KB

007 Continuing with BI ML and AI.mp4

114.3 MB

008 365-DataScience.png

7.3 MB

008 A Breakdown of our Data Science Infographic.en.srt

5.2 KB

008 A Breakdown of our Data Science Infographic.mp4

71.0 MB

/.../03 The Field of Data Science - Connecting the Data Science Disciplines/

009 Applying Traditional Data Big Data BI Traditional Data Science and ML.en.srt

9.2 KB

009 Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4

133.0 MB

/.../04 The Field of Data Science - The Benefits of Each Discipline/

010 The Reason Behind These Disciplines.en.srt

6.7 KB

010 The Reason Behind These Disciplines.mp4

85.1 MB

/.../05 The Field of Data Science - Popular Data Science Techniques/

011 Techniques for Working with Traditional Data.en.srt

10.9 KB

011 Techniques for Working with Traditional Data.mp4

145.0 MB

012 Real Life Examples of Traditional Data.en.srt

2.3 KB

012 Real Life Examples of Traditional Data.mp4

31.4 MB

013 Techniques for Working with Big Data.en.srt

5.8 KB

013 Techniques for Working with Big Data.mp4

79.2 MB

014 Real Life Examples of Big Data.en.srt

1.9 KB

014 Real Life Examples of Big Data.mp4

23.1 MB

015 Business Intelligence (BI) Techniques.en.srt

8.8 KB

015 Business Intelligence (BI) Techniques.mp4

94.3 MB

016 Real Life Examples of Business Intelligence (BI).en.srt

2.2 KB

016 Real Life Examples of Business Intelligence (BI).mp4

31.0 MB

017 Techniques for Working with Traditional Methods.en.srt

11.2 KB

017 Techniques for Working with Traditional Methods.mp4

117.1 MB

018 Real Life Examples of Traditional Methods.en.srt

3.7 KB

018 Real Life Examples of Traditional Methods.mp4

44.9 MB

019 Machine Learning (ML) Techniques.en.srt

8.9 KB

019 Machine Learning (ML) Techniques.mp4

104.1 MB

020 Types of Machine Learning.en.srt

10.8 KB

020 Types of Machine Learning.mp4

131.2 MB

021 Real Life Examples of Machine Learning (ML).en.srt

3.0 KB

021 Real Life Examples of Machine Learning (ML).mp4

38.6 MB

/.../06 The Field of Data Science - Popular Data Science Tools/

022 Necessary Programming Languages and Software Used in Data Science.en.srt

7.5 KB

022 Necessary Programming Languages and Software Used in Data Science.mp4

108.5 MB

/.../07 The Field of Data Science - Careers in Data Science/

023 Finding the Job - What to Expect and What to Look for.en.srt

4.6 KB

023 Finding the Job - What to Expect and What to Look for.mp4

57.0 MB

/.../08 The Field of Data Science - Debunking Common Misconceptions/

024 Debunking Common Misconceptions.en.srt

5.4 KB

024 Debunking Common Misconceptions.mp4

76.4 MB

/.../09 Part 2 Probability/

025 Course-Notes-Basic-Probability.pdf

380.0 KB

025 The Basic Probability Formula.en.srt

9.1 KB

025 The Basic Probability Formula.mp4

90.1 MB

026 Computing Expected Values.en.srt

6.8 KB

026 Computing Expected Values.mp4

79.4 MB

027 Frequency.en.srt

6.6 KB

027 Frequency.mp4

64.7 MB

028 Events and Their Complements.en.srt

6.9 KB

028 Events and Their Complements.mp4

62.0 MB

/.../10 Probability - Combinatorics/

029 Course-Notes-Combinatorics.pdf

231.5 KB

029 Fundamentals of Combinatorics.en.srt

1.3 KB

029 Fundamentals of Combinatorics.mp4

17.0 MB

030 Permutations and How to Use Them.en.srt

4.2 KB

030 Permutations and How to Use Them.mp4

44.8 MB

031 Simple Operations with Factorials.en.srt

3.3 KB

031 Simple Operations with Factorials.mp4

37.9 MB

032 Solving Variations with Repetition.en.srt

3.6 KB

032 Solving Variations with Repetition.mp4

35.7 MB

033 Solving Variations without Repetition.en.srt

4.6 KB

033 Solving Variations without Repetition.mp4

45.2 MB

034 Combinations-With-Repetition.pdf

212.4 KB

034 Solving Combinations.en.srt

5.7 KB

034 Solving Combinations.mp4

60.1 MB

035 Symmetry of Combinations.en.srt

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035 Symmetry of Combinations.mp4

42.3 MB

035 Symmetry-Explained.pdf

87.1 KB

036 Solving Combinations with Separate Sample Spaces.en.srt

3.8 KB

036 Solving Combinations with Separate Sample Spaces.mp4

34.8 MB

037 Combinatorics in Real-Life The Lottery.en.srt

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037 Combinatorics in Real-Life The Lottery.mp4

43.3 MB

038 A Recap of Combinatorics.en.srt

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038 A Recap of Combinatorics.mp4

40.4 MB

039 A Practical Example of Combinatorics.en.srt

14.3 KB

039 A Practical Example of Combinatorics.mp4

140.8 MB

039 Additional-Exercises-Combinatorics-Solutions.pdf

251.6 KB

039 Additional-Exercises-Combinatorics.pdf

109.1 KB

/.../11 Probability - Bayesian Inference/

040 Course-Notes-Bayesian-Inference.pdf

395.3 KB

040 Sets and Events.en.srt

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040 Sets and Events.mp4

56.1 MB

041 Ways Sets Can Interact.en.srt

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041 Ways Sets Can Interact.mp4

49.7 MB

042 Intersection of Sets.en.srt

2.5 KB

042 Intersection of Sets.mp4

28.3 MB

043 Union of Sets.en.srt

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043 Union of Sets.mp4

60.0 MB

044 Mutually Exclusive Sets.en.srt

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044 Mutually Exclusive Sets.mp4

26.6 MB

045 Dependence and Independence of Sets.en.srt

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045 Dependence and Independence of Sets.mp4

36.5 MB

046 The Conditional Probability Formula.en.srt

5.1 KB

046 The Conditional Probability Formula.mp4

48.1 MB

047 The Law of Total Probability.en.srt

3.6 KB

047 The Law of Total Probability.mp4

36.6 MB

048 The Additive Rule.en.srt

2.8 KB

048 The Additive Rule.mp4

28.3 MB

049 The Multiplication Law.en.srt

4.7 KB

049 The Multiplication Law.mp4

51.4 MB

050 Bayes Law.en.srt

7.4 KB

050 Bayes Law.mp4

52.4 MB

051 A Practical Example of Bayesian Inference.en.srt

19.8 KB

051 A Practical Example of Bayesian Inference.mp4

152.2 MB

051 Bayesian-Homework-Solutions.pdf

31.1 KB

051 Bayesian-Homework.pdf

27.9 KB

051 CDS-E7-E8-Hamilton.pdf

865.6 KB

/.../12 Probability - Distributions/

052 Course-Notes-Probability-Distributions.pdf

475.1 KB

052 Fundamentals of Probability Distributions.en.srt

7.7 KB

052 Fundamentals of Probability Distributions.mp4

77.0 MB

053 Types of Probability Distributions.en.srt

9.5 KB

053 Types of Probability Distributions.mp4

74.5 MB

054 Characteristics of Discrete Distributions.en.srt

2.5 KB

054 Characteristics of Discrete Distributions.mp4

23.8 MB

055 Discrete Distributions The Uniform Distribution.en.srt

2.8 KB

055 Discrete Distributions The Uniform Distribution.mp4

25.6 MB

056 Discrete Distributions The Bernoulli Distribution.en.srt

3.9 KB

056 Discrete Distributions The Bernoulli Distribution.mp4

35.8 MB

057 Discrete Distributions The Binomial Distribution.en.srt

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057 Discrete Distributions The Binomial Distribution.mp4

72.2 MB

058 Discrete Distributions The Poisson Distribution.en.srt

6.7 KB

058 Discrete Distributions The Poisson Distribution.mp4

58.5 MB

058 Poisson-Expected-Value-and-Variance.pdf

149.5 KB

059 Characteristics of Continuous Distributions.en.srt

8.9 KB

059 Characteristics of Continuous Distributions.mp4

88.2 MB

059 Solving-Integrals.pdf

352.1 KB

060 Continuous Distributions The Normal Distribution.en.srt

4.9 KB

060 Continuous Distributions The Normal Distribution.mp4

50.6 MB

060 Normal-Distribution-Exp-and-Var.pdf

147.5 KB

061 Continuous Distributions The Standard Normal Distribution.en.srt

5.4 KB

061 Continuous Distributions The Standard Normal Distribution.mp4

50.2 MB

062 Continuous Distributions The Students T Distribution.en.srt

2.9 KB

062 Continuous Distributions The Students T Distribution.mp4

28.5 MB

063 Continuous Distributions The Chi-Squared Distribution.en.srt

2.8 KB

063 Continuous Distributions The Chi-Squared Distribution.mp4

27.6 MB

064 Continuous Distributions The Exponential Distribution.en.srt

4.2 KB

064 Continuous Distributions The Exponential Distribution.mp4

42.2 MB

065 Continuous Distributions The Logistic Distribution.en.srt

5.1 KB

065 Continuous Distributions The Logistic Distribution.mp4

49.3 MB

066 A Practical Example of Probability Distributions.en.srt

20.4 KB

066 A Practical Example of Probability Distributions.mp4

165.5 MB

066 Customers-Membership-post.xlsx

16.0 KB

066 Customers-Membership.xlsx

9.9 KB

066 Daily-Views-post.xlsx

20.7 KB

066 Daily-Views.xlsx

9.8 KB

066 FIFA19-post.csv

9.1 MB

066 FIFA19.csv

9.1 MB

/.../13 Probability - Probability in Other Fields/

067 Probability in Finance.en.srt

10.1 KB

067 Probability in Finance.mp4

103.9 MB

067 Probability-in-Finance-Homework.pdf

113.3 KB

067 Probability-in-Finance-Solutions.pdf

188.9 KB

068 Probability in Statistics.en.srt

8.6 KB

068 Probability in Statistics.mp4

81.0 MB

069 Probability in Data Science.en.srt

6.8 KB

069 Probability in Data Science.mp4

66.6 MB

069 Probability-Cheat-Sheet.pdf

328.0 KB

/.../14 Part 3 Statistics/

070 Course-notes-descriptive-statistics.pdf

493.8 KB

070 Population and Sample.en.srt

5.6 KB

070 Population and Sample.mp4

60.9 MB

070 Statistics-Glossary.xlsx

20.8 KB

/.../15 Statistics - Descriptive Statistics/

071 Course-notes-descriptive-statistics.pdf

493.8 KB

071 Glossary.xlsx

20.4 KB

071 Types of Data.en.srt

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071 Types of Data.mp4

76.0 MB

072 Levels of Measurement.en.srt

4.7 KB

072 Levels of Measurement.mp4

57.0 MB

073 2.3.Categorical-variables.Visualization-techniques-lesson.xlsx

31.5 KB

073 Categorical Variables - Visualization Techniques.en.srt

6.5 KB

073 Categorical Variables - Visualization Techniques.mp4

38.4 MB

074 2.3.Categorical-variables.Visualization-techniques-exercise-solution.xlsx

42.1 KB

074 2.3.Categorical-variables.Visualization-techniques-exercise.xlsx

15.6 KB

074 Categorical Variables Exercise.html

1.0 KB

074 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf

296.1 KB

075 2.4.Numerical-variables.Frequency-distribution-table-lesson.xlsx

11.7 KB

075 Numerical Variables - Frequency Distribution Table.en.srt

4.5 KB

075 Numerical Variables - Frequency Distribution Table.mp4

27.1 MB

076 2.4.Numerical-variables.Frequency-distribution-table-exercise-solution.xlsx

13.5 KB

076 Numerical Variables Exercise.html

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077 2.5.The-Histogram-lesson.xlsx

19.1 KB

077 The Histogram.en.srt

3.1 KB

077 The Histogram.mp4

14.4 MB

078 2.5.The-Histogram-exercise-solution.xlsx

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078 2.5.The-Histogram-exercise.xlsx

15.9 KB

078 Histogram Exercise.html

0.9 KB

078 Statistics-PDF-with-Excel-Solutions-that-dont-visualize-properly.pdf

296.1 KB

079 2.6.Cross-table-and-scatter-plot.xlsx

26.7 KB

079 Cross Tables and Scatter Plots.en.srt

6.8 KB

079 Cross Tables and Scatter Plots.mp4

41.7 MB

080 2.6.Cross-table-and-scatter-plot-exercise-solution.xlsx

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080 2.6.Cross-table-and-scatter-plot-exercise.xlsx

16.7 KB

080 Cross Tables and Scatter Plots Exercise.html

1.0 KB

081 2.7.Mean-median-and-mode-lesson.xlsx

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081 Mean median and mode.en.srt

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081 Mean median and mode.mp4

38.9 MB

082 2.7.Mean-median-and-mode-exercise-solution.xlsx

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082 2.7.Mean-median-and-mode-exercise.xlsx

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082 Mean Median and Mode Exercise.html

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083 2.8.Skewness-lesson.xlsx

35.5 KB

083 Skewness.en.srt

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083 Skewness.mp4

20.3 MB

084 2.8.Skewness-exercise-solution.xlsx

20.3 KB

084 2.8.Skewness-exercise.xlsx

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084 Skewness Exercise.html

0.9 KB

085 2.9.Variance-lesson.xlsx

10.3 KB

085 Variance.en.srt

7.7 KB

085 Variance.mp4

53.4 MB

086 2.9.Variance-exercise-solution.xlsx

11.3 KB

086 2.9.Variance-exercise.xlsx

11.1 KB

086 Variance Exercise.html

1.4 KB

087 2.10.Standard-deviation-and-coefficient-of-variation-lesson.xlsx

11.2 KB

087 Standard Deviation and Coefficient of Variation.en.srt

6.8 KB

087 Standard Deviation and Coefficient of Variation.mp4

47.3 MB

088 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx

12.9 KB

088 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx

11.9 KB

088 Standard Deviation and Coefficient of Variation Exercise.html

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089 2.11.Covariance-lesson.xlsx

25.5 KB

089 Covariance.en.srt

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089 Covariance.mp4

28.8 MB

090 2.11.Covariance-exercise-solution.xlsx

30.2 KB

090 2.11.Covariance-exercise.xlsx

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090 Covariance Exercise.html

0.9 KB

091 Correlation Coefficient.en.srt

4.8 KB

091 Correlation Coefficient.mp4

30.8 MB

092 2.12.Correlation-exercise-solution.xlsx

30.2 KB

092 2.12.Correlation-exercise.xlsx

30.0 KB

092 Correlation Coefficient Exercise.html

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/.../17 Statistics - Inferential Statistics Fundamentals/

095 Course-notes-inferential-statistics.pdf

391.5 KB

095 Introduction.en.srt

1.7 KB

095 Introduction.mp4

16.2 MB

096 3.2.What-is-a-distribution-lesson.xlsx

19.9 KB

096 Course-notes-inferential-statistics.pdf

391.5 KB

096 What is a Distribution.en.srt

6.0 KB

096 What is a Distribution.mp4

64.6 MB

097 The Normal Distribution.en.srt

5.0 KB

097 The Normal Distribution.mp4

52.3 MB

098 3.4.Standard-normal-distribution-lesson.xlsx

10.6 KB

098 The Standard Normal Distribution.en.srt

4.0 KB

098 The Standard Normal Distribution.mp4

23.6 MB

099 3.4.Standard-normal-distribution-exercise-solution.xlsx

24.6 KB

099 3.4.Standard-normal-distribution-exercise.xlsx

12.3 KB

099 The Standard Normal Distribution Exercise.html

1.0 KB

100 Central Limit Theorem.en.srt

5.8 KB

100 Central Limit Theorem.mp4

65.9 MB

101 Standard error.en.srt

2.1 KB

101 Standard error.mp4

23.9 MB

102 Estimators and Estimates.en.srt

3.8 KB

102 Estimators and Estimates.mp4

50.1 MB

/.../18 Statistics - Inferential Statistics Confidence Intervals/

103 What are Confidence Intervals.en.srt

3.3 KB

103 What are Confidence Intervals.mp4

52.4 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 Z-score.en.srt

10.0 KB

104 Confidence Intervals Population Variance Known Z-score.mp4

82.0 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 Z-score Exercise.html

1.0 KB

106 Confidence Interval Clarifications.en.srt

5.5 KB

106 Confidence Interval Clarifications.mp4

59.8 MB

107 Students T Distribution.en.srt

4.2 KB

107 Students T Distribution.mp4

37.2 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 T-score.en.srt

5.8 KB

108 Confidence Intervals Population Variance Unknown T-score.mp4

33.8 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 T-score Exercise.html

1.0 KB

110 Margin of Error.en.srt

6.3 KB

110 Margin of Error.mp4

49.5 MB

111 3.13.Confidence-intervals.Two-means.Dependent-samples-lesson.xlsx

10.7 KB

111 Confidence intervals. Two means. Dependent samples.en.srt

8.2 KB

111 Confidence intervals. Two means. Dependent samples.mp4

73.9 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

1.0 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).en.srt

6.2 KB

113 Confidence intervals. Two means. Independent Samples (Part 1).mp4

30.2 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

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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).en.srt

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115 Confidence intervals. Two means. Independent Samples (Part 2).mp4

28.1 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

1.0 KB

117 Confidence intervals. Two means. Independent Samples (Part 3).en.srt

2.0 KB

117 Confidence intervals. Two means. Independent Samples (Part 3).mp4

20.9 MB

/.../19 Statistics - Practical Example Inferential Statistics/

118 3.17.Practical-example.Confidence-intervals-lesson.xlsx

1.8 MB

118 Practical Example Inferential Statistics.en.srt

14.0 KB

118 Practical Example Inferential Statistics.mp4

107.6 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

1.0 KB

/.../20 Statistics - Hypothesis Testing/

120 Course-notes-hypothesis-testing.pdf

672.2 KB

120 Null vs Alternative Hypothesis.en.srt

7.1 KB

120 Null vs Alternative Hypothesis.mp4

96.5 MB

121 Further Reading on Null and Alternative Hypothesis.html

3.2 KB

122 Course-notes-hypothesis-testing.pdf

672.2 KB

122 Rejection Region and Significance Level.en.srt

8.9 KB

122 Rejection Region and Significance Level.mp4

86.6 MB

123 Type I Error and Type II Error.en.srt

5.8 KB

123 Type I Error and Type II Error.mp4

46.1 MB

124 4.4.Test-for-the-mean.Population-variance-known-lesson.xlsx

11.2 KB

124 Test for the Mean. Population Variance Known.en.srt

8.3 KB

124 Test for the Mean. Population Variance Known.mp4

56.9 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

1.0 KB

126 Online-p-value-calculator.pdf

1.2 MB

126 p-value.en.srt

5.2 KB

126 p-value.mp4

58.6 MB

127 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx

14.9 KB

127 Test for the Mean. Population Variance Unknown.en.srt

5.9 KB

127 Test for the Mean. Population Variance Unknown.mp4

42.2 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

1.0 KB

129 4.7.Test-for-the-mean.Dependent-samples-lesson.xlsx

10.0 KB

129 Test for the Mean. Dependent Samples.en.srt

6.4 KB

129 Test for the Mean. Dependent Samples.mp4

52.8 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

1.0 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).en.srt

5.6 KB

131 Test for the mean. Independent Samples (Part 1).mp4

35.6 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

1.0 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).en.srt

5.3 KB

133 Test for the mean. Independent Samples (Part 2).mp4

38.2 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

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/.../21 Statistics - Practical Example Hypothesis Testing/

135 4.10.Hypothesis-testing-section-practical-example.xlsx

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136 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx

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136 Practical Example Hypothesis Testing Exercise.html

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/.../22 Part 4 Introduction to Python/

137 Introduction to Programming.en.srt

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137 Introduction to Programming.mp4

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138 Why Python.en.srt

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138 Why Python.mp4

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139 Why Jupyter.en.srt

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139 Why Jupyter.mp4

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140 Installing Python and Jupyter.en.srt

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140 Installing Python and Jupyter.mp4

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141 Understanding Jupyters Interface - the Notebook Dashboard.en.srt

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141 Understanding Jupyters Interface - the Notebook Dashboard.mp4

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142 Prerequisites for Coding in the Jupyter Notebooks.en.srt

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142 Prerequisites for Coding in the Jupyter Notebooks.mp4

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143 Python 2 vs Python 3.en.srt

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143 Python 2 vs Python 3.mp4

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143 Python-Introduction-Course-Notes.pdf

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/.../23 Python - Variables and Data Types/

144 Python-Introduction-Course-Notes.pdf

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144 Variables.en.srt

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144 Variables.mp4

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145 Numbers and Boolean Values in Python.en.srt

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145 Numbers and Boolean Values in Python.mp4

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146 Python Strings.en.srt

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/.../24 Python - Basic Python Syntax/

147 Using Arithmetic Operators in Python.en.srt

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148 The Double Equality Sign.en.srt

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149 How to Reassign Values.en.srt

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149 How to Reassign Values.mp4

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150 Add Comments.en.srt

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151 Understanding Line Continuation.en.srt

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152 Indexing Elements.en.srt

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153 Structuring with Indentation.en.srt

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155 Logical and Identity Operators.en.srt

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157 The ELSE Statement.en.srt

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157 The ELSE Statement.mp4

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158 The ELIF Statement.en.srt

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159 A Note on Boolean Values.en.srt

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/.../27 Python - Python Functions/

160 Defining a Function in Python.en.srt

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160 Defining a Function in Python.mp4

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161 How to Create a Function with a Parameter.en.srt

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161 How to Create a Function with a Parameter.mp4

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162 Defining a Function in Python - Part II.en.srt

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162 Defining a Function in Python - Part II.mp4

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163 How to Use a Function within a Function.en.srt

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163 How to Use a Function within a Function.mp4

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164 Conditional Statements and Functions.en.srt

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165 Functions Containing a Few Arguments.en.srt

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166 Built-in Functions in Python.en.srt

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167 Lists.en.srt

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168 Using Methods.en.srt

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169 List Slicing.en.srt

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170 Tuples.en.srt

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171 Dictionaries.en.srt

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173 While Loops and Incrementing.en.srt

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174 Lists with the range() Function.en.srt

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175 Conditional Statements and Loops.en.srt

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176 Conditional Statements Functions and Loops.en.srt

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177 How to Iterate over Dictionaries.en.srt

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/.../30 Python - Advanced Python Tools/

178 Object Oriented Programming.en.srt

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178 Object Oriented Programming.mp4

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179 Modules and Packages.en.srt

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179 Modules and Packages.mp4

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180 What is the Standard Library.en.srt

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180 What is the Standard Library.mp4

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181 Importing Modules in Python.en.srt

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181 Importing Modules in Python.mp4

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/.../31 Part 5 Advanced Statistical Methods in Python/

182 Course-notes-regression-analysis.pdf

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182 Introduction to Regression Analysis.en.srt

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182 Introduction to Regression Analysis.mp4

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/.../32 Advanced Statistical Methods - Linear Regression with StatsModels/

183 Course-notes-regression-analysis.pdf

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183 The Linear Regression Model.en.srt

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183 The Linear Regression Model.mp4

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184 Correlation vs Regression.en.srt

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184 Correlation vs Regression.mp4

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185 Geometrical Representation of the Linear Regression Model.en.srt

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185 Geometrical Representation of the Linear Regression Model.mp4

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186 Python Packages Installation.en.srt

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186 Python Packages Installation.mp4

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187 First Regression in Python.en.srt

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187 First Regression in Python.mp4

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188 First Regression in Python Exercise.html

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189 Using Seaborn for Graphs.en.srt

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189 Using Seaborn for Graphs.mp4

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190 How to Interpret the Regression Table.en.srt

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190 How to Interpret the Regression Table.mp4

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191 Decomposition of Variability.en.srt

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191 Decomposition of Variability.mp4

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192 What is the OLS.en.srt

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193 R-Squared.en.srt

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193 R-Squared.mp4

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/.../33 Advanced Statistical Methods - Multiple Linear Regression with StatsModels/

194 Multiple Linear Regression.en.srt

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194 Multiple Linear Regression.mp4

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195 Adjusted R-Squared.en.srt

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195 Adjusted R-Squared.mp4

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196 Multiple Linear Regression Exercise.html

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197 Test for Significance of the Model (F-Test).en.srt

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197 Test for Significance of the Model (F-Test).mp4

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198 OLS Assumptions.en.srt

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199 A1 Linearity.en.srt

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200 A2 No Endogeneity.en.srt

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201 A3 Normality and Homoscedasticity.en.srt

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202 A4 No Autocorrelation.en.srt

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203 A5 No Multicollinearity.en.srt

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204 Dealing with Categorical Data - Dummy Variables.en.srt

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205 Dealing with Categorical Data - Dummy Variables.html

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206 Making Predictions with the Linear Regression.en.srt

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206 Making Predictions with the Linear Regression.mp4

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/.../34 Advanced Statistical Methods - Linear Regression with sklearn/

207 What is sklearn and How is it Different from Other Packages.en.srt

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207 What is sklearn and How is it Different from Other Packages.mp4

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208 How are Going to Approach this Section.en.srt

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209 1.01.Simple-linear-regression.csv

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209 Simple Linear Regression with sklearn.en.srt

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210 1.01.Simple-linear-regression.csv

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210 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.en.srt

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210 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4

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211 A Note on Normalization.html

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212 Simple Linear Regression with sklearn - Exercise.html

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213 1.02.Multiple-linear-regression.csv

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213 Multiple Linear Regression with sklearn.en.srt

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214 1.02.Multiple-linear-regression.csv

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214 Calculating the Adjusted R-Squared in sklearn.en.srt

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215 Calculating the Adjusted R-Squared in sklearn - Exercise.html

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216 Feature Selection (F-regression).en.srt

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216 Feature Selection (F-regression).mp4

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217 A Note on Calculation of P-values with sklearn.html

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218 Creating a Summary Table with P-values.en.srt

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218 Creating a Summary Table with P-values.mp4

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219 Multiple Linear Regression - Exercise.html

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220 Feature Scaling (Standardization).en.srt

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220 Feature Scaling (Standardization).mp4

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221 Feature Selection through Standardization of Weights.en.srt

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222 Predicting with the Standardized Coefficients.en.srt

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223 Feature Scaling (Standardization) - Exercise.html

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224 Underfitting and Overfitting.en.srt

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224 Underfitting and Overfitting.mp4

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225 Train - Test Split Explained.en.srt

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225 Train - Test Split Explained.mp4

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/.../35 Advanced Statistical Methods - Practical Example Linear Regression/

226 Practical Example Linear Regression (Part 1).en.srt

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226 Practical Example Linear Regression (Part 1).mp4

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227 Practical Example Linear Regression (Part 2).en.srt

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227 Practical Example Linear Regression (Part 2).mp4

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228 A Note on Multicollinearity.html

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229 Practical Example Linear Regression (Part 3).en.srt

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229 Practical Example Linear Regression (Part 3).mp4

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230 Dummies and Variance Inflation Factor - Exercise.html

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231 Practical Example Linear Regression (Part 4).en.srt

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231 Practical Example Linear Regression (Part 4).mp4

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232 Dummy Variables - Exercise.html

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233 Practical Example Linear Regression (Part 5).en.srt

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234 Linear Regression - Exercise.html

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/.../36 Advanced Statistical Methods - Logistic Regression/

235 Course-Notes-Logistic-Regression.pdf

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235 Introduction to Logistic Regression.en.srt

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235 Introduction to Logistic Regression.mp4

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236 A Simple Example in Python.en.srt

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236 A Simple Example in Python.mp4

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236 Course-Notes-Logistic-Regression.pdf

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237 Logistic vs Logit Function.en.srt

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237 Logistic vs Logit Function.mp4

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238 Building a Logistic Regression.en.srt

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238 Building a Logistic Regression.mp4

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239 Building a Logistic Regression - Exercise.html

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239 Example-bank-data.csv

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240 An Invaluable Coding Tip.en.srt

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240 An Invaluable Coding Tip.mp4

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241 Understanding Logistic Regression Tables.en.srt

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241 Understanding Logistic Regression Tables.mp4

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242 Bank-data.csv

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242 Understanding Logistic Regression Tables - Exercise.html

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243 What do the Odds Actually Mean.en.srt

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243 What do the Odds Actually Mean.mp4

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244 Binary Predictors in a Logistic Regression.en.srt

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244 Binary Predictors in a Logistic Regression.mp4

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245 Bank-data.csv

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245 Binary Predictors in a Logistic Regression - Exercise.html

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246 Calculating the Accuracy of the Model.en.srt

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246 Calculating the Accuracy of the Model.mp4

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247 Bank-data.csv

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247 Calculating the Accuracy of the Model.html

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248 Underfitting and Overfitting.en.srt

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248 Underfitting and Overfitting.mp4

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249 Testing the Model.en.srt

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249 Testing the Model.mp4

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250 Bank-data-testing.csv

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250 Bank-data.csv

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250 Testing the Model - Exercise.html

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/.../37 Advanced Statistical Methods - Cluster Analysis/

251 Course-Notes-Cluster-Analysis.pdf

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251 Introduction to Cluster Analysis.en.srt

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251 Introduction to Cluster Analysis.mp4

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252 Course-Notes-Cluster-Analysis.pdf

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252 Some Examples of Clusters.en.srt

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252 Some Examples of Clusters.mp4

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253 Difference between Classification and Clustering.en.srt

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253 Difference between Classification and Clustering.mp4

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254 Math Prerequisites.en.srt

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/.../38 Advanced Statistical Methods - K-Means Clustering/

255 K-Means Clustering.en.srt

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255 K-Means Clustering.mp4

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256 A Simple Example of Clustering.en.srt

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256 A Simple Example of Clustering.mp4

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257 A Simple Example of Clustering - Exercise.html

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257 Countries-exercise.csv

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258 Clustering Categorical Data.en.srt

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258 Clustering Categorical Data.mp4

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259 Categorical.csv

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259 Clustering Categorical Data - Exercise.html

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260 How to Choose the Number of Clusters.en.srt

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260 How to Choose the Number of Clusters.mp4

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261 Countries-exercise.csv

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261 How to Choose the Number of Clusters - Exercise.html

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262 Pros and Cons of K-Means Clustering.en.srt

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262 Pros and Cons of K-Means Clustering.mp4

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263 To Standardize or not to Standardize.en.srt

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264 Relationship between Clustering and Regression.en.srt

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265 Market Segmentation with Cluster Analysis (Part 1).en.srt

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266 Market Segmentation with Cluster Analysis (Part 2).en.srt

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267 How is Clustering Useful.en.srt

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268 EXERCISE Species Segmentation with Cluster Analysis (Part 1).html

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269 EXERCISE Species Segmentation with Cluster Analysis (Part 2).html

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/.../39 Advanced Statistical Methods - Other Types of Clustering/

270 Types of Clustering.en.srt

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271 Dendrogram.en.srt

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272 Heatmaps.en.srt

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/.../40 Part 6 Mathematics/

273 What is a Matrix.en.srt

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274 Scalars and Vectors.en.srt

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275 Linear Algebra and Geometry.en.srt

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276 Arrays in Python - A Convenient Way To Represent Matrices.en.srt

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276 Arrays in Python - A Convenient Way To Represent Matrices.mp4

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277 What is a Tensor.en.srt

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278 Addition and Subtraction of Matrices.en.srt

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279 Errors when Adding Matrices.en.srt

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280 Transpose of a Matrix.en.srt

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281 Dot Product.en.srt

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282 Dot Product of Matrices.en.srt

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282 Dot Product of Matrices.mp4

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283 Why is Linear Algebra Useful.en.srt

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283 Why is Linear Algebra Useful.mp4

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/.../41 Part 7 Deep Learning/

284 What to Expect from this Part.en.srt

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284 What to Expect from this Part.mp4

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/.../42 Deep Learning - Introduction to Neural Networks/

285 Course-Notes-Section-2.pdf

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285 Introduction to Neural Networks.en.srt

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285 Introduction to Neural Networks.mp4

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286 Course-Notes-Section-2.pdf

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286 Training the Model.en.srt

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286 Training the Model.mp4

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287 Types of Machine Learning.en.srt

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287 Types of Machine Learning.mp4

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288 The Linear Model (Linear Algebraic Version).en.srt

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288 The Linear Model (Linear Algebraic Version).mp4

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289 The Linear Model with Multiple Inputs.en.srt

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289 The Linear Model with Multiple Inputs.mp4

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290 The Linear model with Multiple Inputs and Multiple Outputs.en.srt

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290 The Linear model with Multiple Inputs and Multiple Outputs.mp4

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291 Graphical Representation of Simple Neural Networks.en.srt

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291 Graphical Representation of Simple Neural Networks.mp4

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292 What is the Objective Function.en.srt

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292 What is the Objective Function.mp4

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293 Common Objective Functions L2-norm Loss.en.srt

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293 Common Objective Functions L2-norm Loss.mp4

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294 Common Objective Functions Cross-Entropy Loss.en.srt

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294 Common Objective Functions Cross-Entropy Loss.mp4

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295 GD-function-example.xlsx

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295 Optimization Algorithm 1-Parameter Gradient Descent.en.srt

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296 Optimization Algorithm n-Parameter Gradient Descent.en.srt

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296 Optimization Algorithm n-Parameter Gradient Descent.mp4

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/.../43 Deep Learning - How to Build a Neural Network from Scratch with NumPy/

297 Basic NN Example (Part 1).en.srt

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297 Basic NN Example (Part 1).mp4

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297 Shortcuts-for-Jupyter.pdf

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298 Basic NN Example (Part 2).en.srt

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298 Basic NN Example (Part 2).mp4

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299 Basic NN Example (Part 3).en.srt

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299 Basic NN Example (Part 3).mp4

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300 Basic NN Example (Part 4).en.srt

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300 Basic NN Example (Part 4).mp4

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301 Basic NN Example Exercises.html

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/.../44 Deep Learning - TensorFlow 2.0 Introduction/

302 How to Install TensorFlow 2.0.en.srt

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302 How to Install TensorFlow 2.0.mp4

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302 Shortcuts-for-Jupyter.pdf

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303 TensorFlow Outline and Comparison with Other Libraries.en.srt

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303 TensorFlow Outline and Comparison with Other Libraries.mp4

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304 TensorFlow 1 vs TensorFlow 2.en.srt

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304 TensorFlow 1 vs TensorFlow 2.mp4

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305 A Note on TensorFlow 2 Syntax.en.srt

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305 A Note on TensorFlow 2 Syntax.mp4

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306 Types of File Formats Supporting TensorFlow.en.srt

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306 Types of File Formats Supporting TensorFlow.mp4

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307 Outlining the Model with TensorFlow 2.en.srt

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307 Outlining the Model with TensorFlow 2.mp4

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308 Interpreting the Result and Extracting the Weights and Bias.en.srt

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308 Interpreting the Result and Extracting the Weights and Bias.mp4

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309 Customizing a TensorFlow 2 Model.en.srt

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309 Customizing a TensorFlow 2 Model.mp4

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310 Basic NN with TensorFlow Exercises.html

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/.../45 Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/

311 Course-Notes-Section-6.pdf

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311 What is a Layer.en.srt

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312 Course-Notes-Section-6.pdf

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312 What is a Deep Net.en.srt

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312 What is a Deep Net.mp4

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313 Digging into a Deep Net.en.srt

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313 Digging into a Deep Net.mp4

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314 Non-Linearities and their Purpose.en.srt

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314 Non-Linearities and their Purpose.mp4

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315 Activation Functions.en.srt

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315 Activation Functions.mp4

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316 Activation Functions Softmax Activation.en.srt

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316 Activation Functions Softmax Activation.mp4

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317 Backpropagation.en.srt

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317 Backpropagation.mp4

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318 Backpropagation Picture.en.srt

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319 Backpropagation - A Peek into the Mathematics of Optimization.html

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319 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf

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/.../46 Deep Learning - Overfitting/

320 What is Overfitting.en.srt

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320 What is Overfitting.mp4

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321 Underfitting and Overfitting for Classification.en.srt

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321 Underfitting and Overfitting for Classification.mp4

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322 What is Validation.en.srt

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322 What is Validation.mp4

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323 Training Validation and Test Datasets.en.srt

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323 Training Validation and Test Datasets.mp4

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324 N-Fold Cross Validation.en.srt

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324 N-Fold Cross Validation.mp4

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325 Early Stopping or When to Stop Training.en.srt

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/.../47 Deep Learning - Initialization/

326 What is Initialization.en.srt

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326 What is Initialization.mp4

22.8 MB

327 Types of Simple Initializations.en.srt

3.8 KB

327 Types of Simple Initializations.mp4

15.0 MB

328 State-of-the-Art Method - (Xavier) Glorot Initialization.en.srt

3.8 KB

328 State-of-the-Art Method - (Xavier) Glorot Initialization.mp4

18.0 MB

/.../48 Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/

329 Stochastic Gradient Descent.en.srt

4.9 KB

329 Stochastic Gradient Descent.mp4

30.1 MB

330 Problems with Gradient Descent.en.srt

2.9 KB

330 Problems with Gradient Descent.mp4

11.5 MB

331 Momentum.en.srt

3.5 KB

331 Momentum.mp4

17.2 MB

332 Learning Rate Schedules or How to Choose the Optimal Learning Rate.en.srt

6.1 KB

332 Learning Rate Schedules or How to Choose the Optimal Learning Rate.mp4

30.5 MB

333 Learning Rate Schedules Visualized.en.srt

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333 Learning Rate Schedules Visualized.mp4

9.5 MB

334 Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).en.srt

5.3 KB

334 Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4

27.6 MB

335 Adam (Adaptive Moment Estimation).en.srt

3.4 KB

335 Adam (Adaptive Moment Estimation).mp4

23.4 MB

/.../49 Deep Learning - Preprocessing/

336 Preprocessing Introduction.en.srt

4.0 KB

336 Preprocessing Introduction.mp4

29.1 MB

337 Types of Basic Preprocessing.en.srt

1.7 KB

337 Types of Basic Preprocessing.mp4

12.4 MB

338 Standardization.en.srt

6.1 KB

338 Standardization.mp4

53.5 MB

339 Preprocessing Categorical Data.en.srt

2.8 KB

339 Preprocessing Categorical Data.mp4

19.5 MB

340 Binary and One-Hot Encoding.en.srt

4.9 KB

340 Binary and One-Hot Encoding.mp4

30.3 MB

/.../50 Deep Learning - Classifying on the MNIST Dataset/

341 MNIST The Dataset.en.srt

3.7 KB

341 MNIST The Dataset.mp4

14.0 MB

342 MNIST How to Tackle the MNIST.en.srt

3.6 KB

342 MNIST How to Tackle the MNIST.mp4

19.6 MB

343 MNIST Importing the Relevant Packages and Loading the Data.en.srt

3.1 KB

343 MNIST Importing the Relevant Packages and Loading the Data.mp4

17.1 MB

344 MNIST Preprocess the Data - Create a Validation Set and Scale It.en.srt

6.4 KB

344 MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4

30.5 MB

345 MNIST Preprocess the Data - Scale the Test Data - Exercise.html

1.0 KB

346 MNIST Preprocess the Data - Shuffle and Batch.en.srt

9.5 KB

346 MNIST Preprocess the Data - Shuffle and Batch.mp4

43.5 MB

347 MNIST Preprocess the Data - Shuffle and Batch - Exercise.html

1.0 KB

348 MNIST Outline the Model.en.srt

7.4 KB

348 MNIST Outline the Model.mp4

29.6 MB

349 MNIST Select the Loss and the Optimizer.en.srt

3.1 KB

349 MNIST Select the Loss and the Optimizer.mp4

14.6 MB

350 MNIST Learning.en.srt

8.1 KB

350 MNIST Learning.mp4

43.0 MB

351 MNIST - Exercises.html

2.9 KB

352 MNIST Testing the Model.en.srt

6.2 KB

352 MNIST Testing the Model.mp4

31.0 MB

external-assets-links.txt

0.8 KB

/.../51 Deep Learning - Business Case Example/

353 Audiobooks-data.csv

727.8 KB

353 Business Case Exploring the Dataset and Identifying Predictors.en.srt

10.9 KB

353 Business Case Exploring the Dataset and Identifying Predictors.mp4

69.5 MB

354 Business Case Outlining the Solution.en.srt

2.0 KB

354 Business Case Outlining the Solution.mp4

7.7 MB

355 Business Case Balancing the Dataset.en.srt

4.6 KB

355 Business Case Balancing the Dataset.mp4

31.9 MB

356 Business Case Preprocessing the Data.en.srt

12.6 KB

356 Business Case Preprocessing the Data.mp4

88.4 MB

357 Business Case Preprocessing the Data - Exercise.html

1.3 KB

358 Business Case Load the Preprocessed Data.en.srt

4.8 KB

358 Business Case Load the Preprocessed Data.mp4

18.4 MB

359 Business Case Load the Preprocessed Data - Exercise.html

1.0 KB

360 Business Case Learning and Interpreting the Result.en.srt

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360 Business Case Learning and Interpreting the Result.mp4

32.7 MB

361 Business Case Setting an Early Stopping Mechanism.en.srt

8.0 KB

361 Business Case Setting an Early Stopping Mechanism.mp4

52.2 MB

362 Setting an Early Stopping Mechanism - Exercise.html

1.1 KB

363 Business Case Testing the Model.en.srt

2.1 KB

363 Business Case Testing the Model.mp4

11.3 MB

364 Business Case Final Exercise.html

1.3 KB

external-assets-links.txt

0.9 KB

/.../52 Deep Learning - Conclusion/

365 Summary on What Youve Learned.en.srt

5.3 KB

365 Summary on What Youve Learned.mp4

41.7 MB

366 Whats Further out there in terms of Machine Learning.en.srt

2.6 KB

366 Whats Further out there in terms of Machine Learning.mp4

21.1 MB

367 DeepMind and Deep Learning.html

1.9 KB

368 An overview of CNNs.en.srt

6.6 KB

368 An overview of CNNs.mp4

61.6 MB

369 An Overview of RNNs.en.srt

3.8 KB

369 An Overview of RNNs.mp4

26.5 MB

370 An Overview of non-NN Approaches.en.srt

5.2 KB

370 An Overview of non-NN Approaches.mp4

46.9 MB

/.../53 Appendix Deep Learning - TensorFlow 1 Introduction/

371 READ ME.html

1.4 KB

372 How to Install TensorFlow 1.en.srt

3.5 KB

372 How to Install TensorFlow 1.mp4

11.9 MB

373 A Note on Installing Packages in Anaconda.html

3.2 KB

374 TensorFlow Intro.en.srt

5.3 KB

374 TensorFlow Intro.mp4

50.0 MB

375 Actual Introduction to TensorFlow.en.srt

2.2 KB

375 Actual Introduction to TensorFlow.mp4

18.3 MB

375 Shortcuts-for-Jupyter.pdf

634.0 KB

376 Types of File Formats supporting Tensors.en.srt

3.5 KB

376 Types of File Formats supporting Tensors.mp4

21.3 MB

377 Basic NN Example with TF Inputs Outputs Targets Weights Biases.en.srt

7.5 KB

377 Basic NN Example with TF Inputs Outputs Targets Weights Biases.mp4

40.4 MB

378 Basic NN Example with TF Loss Function and Gradient Descent.en.srt

4.9 KB

378 Basic NN Example with TF Loss Function and Gradient Descent.mp4

34.1 MB

379 Basic NN Example with TF Model Output.en.srt

8.1 KB

379 Basic NN Example with TF Model Output.mp4

39.2 MB

380 Basic NN Example with TF Exercises.html

2.5 KB

external-assets-links.txt

1.9 KB

/.../54 Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/

381 MNIST What is the MNIST Dataset.en.srt

3.6 KB

381 MNIST What is the MNIST Dataset.mp4

18.7 MB

382 MNIST How to Tackle the MNIST.en.srt

3.7 KB

382 MNIST How to Tackle the MNIST.mp4

23.7 MB

383 MNIST Relevant Packages.en.srt

2.2 KB

383 MNIST Relevant Packages.mp4

19.8 MB

384 MNIST Model Outline.en.srt

9.3 KB

384 MNIST Model Outline.mp4

59.1 MB

385 MNIST Loss and Optimization Algorithm.en.srt

3.6 KB

385 MNIST Loss and Optimization Algorithm.mp4

27.1 MB

386 Calculating the Accuracy of the Model.en.srt

5.3 KB

386 Calculating the Accuracy of the Model.mp4

46.0 MB

387 MNIST Batching and Early Stopping.en.srt

3.0 KB

387 MNIST Batching and Early Stopping.mp4

13.5 MB

388 MNIST Learning.en.srt

10.4 KB

388 MNIST Learning.mp4

49.0 MB

389 MNIST Results and Testing.en.srt

8.4 KB

389 MNIST Results and Testing.mp4

65.8 MB

390 MNIST Solutions.html

3.1 KB

391 MNIST Exercises.html

3.0 KB

external-assets-links.txt

2.8 KB

/.../55 Appendix Deep Learning - TensorFlow 1 Business Case/

392 Audiobooks-data.csv

727.8 KB

392 Business Case Getting Acquainted with the Dataset.en.srt

11.0 KB

392 Business Case Getting Acquainted with the Dataset.mp4

91.9 MB

393 Business Case Outlining the Solution.en.srt

2.6 KB

393 Business Case Outlining the Solution.mp4

12.8 MB

394 The Importance of Working with a Balanced Dataset.en.srt

4.6 KB

394 The Importance of Working with a Balanced Dataset.mp4

41.3 MB

395 Business Case Preprocessing.en.srt

13.8 KB

395 Business Case Preprocessing.mp4

108.4 MB

396 Business Case Preprocessing Exercise.html

1.3 KB

397 Creating a Data Provider.en.srt

7.9 KB

397 Creating a Data Provider.mp4

80.1 MB

398 Business Case Model Outline.en.srt

7.1 KB

398 Business Case Model Outline.mp4

55.7 MB

399 Business Case Optimization.en.srt

6.8 KB

399 Business Case Optimization.mp4

43.5 MB

400 Business Case Interpretation.en.srt

3.0 KB

400 Business Case Interpretation.mp4

27.0 MB

401 Business Case Testing the Model.en.srt

2.8 KB

401 Business Case Testing the Model.mp4

11.7 MB

402 Business Case A Comment on the Homework.en.srt

5.4 KB

402 Business Case A Comment on the Homework.mp4

38.1 MB

403 Business Case Final Exercise.html

1.3 KB

external-assets-links.txt

0.9 KB

/.../56 Software Integration/

404 What are Data Servers Clients Requests and Responses.en.srt

6.1 KB

404 What are Data Servers Clients Requests and Responses.mp4

72.4 MB

405 What are Data Connectivity APIs and Endpoints.en.srt

8.7 KB

405 What are Data Connectivity APIs and Endpoints.mp4

109.1 MB

406 Taking a Closer Look at APIs.en.srt

10.6 KB

406 Taking a Closer Look at APIs.mp4

121.2 MB

407 Communication between Software Products through Text Files.en.srt

5.6 KB

407 Communication between Software Products through Text Files.mp4

63.3 MB

408 Software Integration - Explained.en.srt

6.9 KB

408 Software Integration - Explained.mp4

66.8 MB

/.../57 Case Study - Whats Next in the Course/

409 Game Plan for this Python SQL and Tableau Business Exercise.en.srt

5.6 KB

409 Game Plan for this Python SQL and Tableau Business Exercise.mp4

54.8 MB

410 The Business Task.en.srt

3.8 KB

410 The Business Task.mp4

41.1 MB

411 Introducing the Data Set.en.srt

4.2 KB

411 Introducing the Data Set.mp4

42.8 MB

/.../58 Case Study - Preprocessing the Absenteeism_data/

412 Absenteeism-data.csv

32.8 KB

412 data-preprocessing-homework.pdf

137.7 KB

412 df-preprocessed.csv

29.8 KB

412 What to Expect from the Following Sections.html

3.4 KB

413 Importing the Absenteeism Data in Python.en.srt

4.1 KB

413 Importing the Absenteeism Data in Python.mp4

24.3 MB

414 Checking the Content of the Data Set.en.srt

7.2 KB

414 Checking the Content of the Data Set.mp4

64.9 MB

415 Introduction to Terms with Multiple Meanings.en.srt

4.2 KB

415 Introduction to Terms with Multiple Meanings.mp4

29.2 MB

416 Whats Regression Analysis - a Quick Refresher.html

3.8 KB

417 Using a Statistical Approach towards the Solution to the Exercise.en.srt

2.9 KB

417 Using a Statistical Approach towards the Solution to the Exercise.mp4

21.2 MB

418 Dropping a Column from a DataFrame in Python.en.srt

8.0 KB

418 Dropping a Column from a DataFrame in Python.mp4

64.8 MB

419 EXERCISE - Dropping a Column from a DataFrame in Python.html

1.8 KB

420 SOLUTION - Dropping a Column from a DataFrame in Python.html

1.0 KB

421 Analyzing the Reasons for Absence.en.srt

6.0 KB

421 Analyzing the Reasons for Absence.mp4

42.5 MB

422 Obtaining Dummies from a Single Feature.en.srt

10.4 KB

422 Obtaining Dummies from a Single Feature.mp4

85.0 MB

423 EXERCISE - Obtaining Dummies from a Single Feature.html

1.0 KB

424 SOLUTION - Obtaining Dummies from a Single Feature.html

1.0 KB

425 Dropping a Dummy Variable from the Data Set.html

3.3 KB

426 More on Dummy Variables A Statistical Perspective.en.srt

1.7 KB

426 More on Dummy Variables A Statistical Perspective.mp4

14.4 MB

427 Classifying the Various Reasons for Absence.en.srt

10.3 KB

427 Classifying the Various Reasons for Absence.mp4

78.2 MB

428 Using .concat() in Python.en.srt

5.2 KB

428 Using .concat() in Python.mp4

40.6 MB

429 EXERCISE - Using .concat() in Python.html

1.1 KB

430 SOLUTION - Using .concat() in Python.html

1.0 KB

431 Reordering Columns in a Pandas DataFrame in Python.en.srt

1.9 KB

431 Reordering Columns in a Pandas DataFrame in Python.mp4

14.7 MB

432 EXERCISE - Reordering Columns in a Pandas DataFrame in Python.html

1.1 KB

433 SOLUTION - Reordering Columns in a Pandas DataFrame in Python.html

1.4 KB

434 Creating Checkpoints while Coding in Jupyter.en.srt

3.7 KB

434 Creating Checkpoints while Coding in Jupyter.mp4

26.9 MB

435 EXERCISE - Creating Checkpoints while Coding in Jupyter.html

1.0 KB

436 SOLUTION - Creating Checkpoints while Coding in Jupyter.html

1.0 KB

437 Analyzing the Dates from the Initial Data Set.en.srt

8.6 KB

437 Analyzing the Dates from the Initial Data Set.mp4

60.1 MB

438 Extracting the Month Value from the Date Column.en.srt

8.2 KB

438 Extracting the Month Value from the Date Column.mp4

50.1 MB

439 Extracting the Day of the Week from the Date Column.en.srt

4.6 KB

439 Extracting the Day of the Week from the Date Column.mp4

29.3 MB

440 EXERCISE - Removing the Date Column.html

2.1 KB

441 Analyzing Several Straightforward Columns for this Exercise.en.srt

4.4 KB

441 Analyzing Several Straightforward Columns for this Exercise.mp4

30.9 MB

442 Working on Education Children and Pets.en.srt

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442 Working on Education Children and Pets.mp4

41.5 MB

443 Final Remarks of this Section.en.srt

2.5 KB

443 Final Remarks of this Section.mp4

22.7 MB

444 A Note on Exporting Your Data as a .csv File.html

1.8 KB

external-assets-links.txt

0.7 KB

/.../59 Case Study - Applying Machine Learning to Create the absenteeism_module/

445 Absenteeism-preprocessed.csv

29.8 KB

445 Exploring the Problem with a Machine Learning Mindset.en.srt

4.7 KB

445 Exploring the Problem with a Machine Learning Mindset.mp4

28.9 MB

446 Creating the Targets for the Logistic Regression.en.srt

8.6 KB

446 Creating the Targets for the Logistic Regression.mp4

48.0 MB

447 Selecting the Inputs for the Logistic Regression.en.srt

3.7 KB

447 Selecting the Inputs for the Logistic Regression.mp4

17.6 MB

448 Standardizing the Data.en.srt

4.3 KB

448 Standardizing the Data.mp4

21.6 MB

449 Splitting the Data for Training and Testing.en.srt

8.3 KB

449 Splitting the Data for Training and Testing.mp4

55.3 MB

450 Fitting the Model and Assessing its Accuracy.en.srt

7.6 KB

450 Fitting the Model and Assessing its Accuracy.mp4

43.6 MB

451 Creating a Summary Table with the Coefficients and Intercept.en.srt

6.8 KB

451 Creating a Summary Table with the Coefficients and Intercept.mp4

40.8 MB

452 Interpreting the Coefficients for Our Problem.en.srt

8.1 KB

452 Interpreting the Coefficients for Our Problem.mp4

54.9 MB

453 Standardizing only the Numerical Variables (Creating a Custom Scaler).en.srt

5.1 KB

453 Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4

43.2 MB

454 Interpreting the Coefficients of the Logistic Regression.en.srt

7.4 KB

454 Interpreting the Coefficients of the Logistic Regression.mp4

42.4 MB

455 Backward Elimination or How to Simplify Your Model.en.srt

5.4 KB

455 Backward Elimination or How to Simplify Your Model.mp4

41.5 MB

456 Testing the Model We Created.en.srt

6.7 KB

456 Testing the Model We Created.mp4

51.4 MB

457 Saving the Model and Preparing it for Deployment.en.srt

5.7 KB

457 Saving the Model and Preparing it for Deployment.mp4

39.3 MB

458 ARTICLE - A Note on pickling.html

3.1 KB

459 EXERCISE - Saving the Model (and Scaler).html

1.2 KB

460 Preparing the Deployment of the Model through a Module.en.srt

5.8 KB

460 Preparing the Deployment of the Model through a Module.mp4

46.6 MB

external-assets-links.txt

0.8 KB

/.../60 Case Study - Loading the absenteeism_module/

461 Are You Sure Youre All Set.html

1.4 KB

462 Deploying the absenteeism_module - Part I.en.srt

4.9 KB

462 Deploying the absenteeism_module - Part I.mp4

26.7 MB

463 Deploying the absenteeism_module - Part II.en.srt

7.7 KB

463 Deploying the absenteeism_module - Part II.mp4

56.9 MB

464 Exporting the Obtained Data Set as a .csv.html

1.9 KB

external-assets-links.txt

0.3 KB

/.../61 Case Study - Analyzing the Predicted Outputs in Tableau/

465 EXERCISE - Age vs Probability.html

1.3 KB

466 Analyzing Age vs Probability in Tableau.en.srt

10.3 KB

466 Analyzing Age vs Probability in Tableau.mp4

59.3 MB

467 EXERCISE - Reasons vs Probability.html

1.3 KB

468 Analyzing Reasons vs Probability in Tableau.en.srt

9.8 KB

468 Analyzing Reasons vs Probability in Tableau.mp4

62.2 MB

469 EXERCISE - Transportation Expense vs Probability.html

1.4 KB

470 Analyzing Transportation Expense vs Probability in Tableau.en.srt

7.4 KB

470 Analyzing Transportation Expense vs Probability in Tableau.mp4

42.6 MB

/.../62 Bonus Lecture/

471 Bonus Lecture Next Steps.html

4.2 KB

ReadMe.txt

0.2 KB

Visit Coursedrive.org.url

0.1 KB

 

Total files 1039


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