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FreeCoursesOnline Me Pluralsight Interpreting Data Using Statistical Models with Python

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[FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python

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436.7 MB

Total Files

46

Last Seen

2024-10-02 23:33

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F7E92DFF8AA8F4F40672AD50CA158EEC80B82689

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/01.Course Overview/

01.01.Course Overview.mp4

11.7 MB

/02.Understanding Inferential Statistics/

02.01.Module Overview.mp4

7.5 MB

02.02.Prerequisites and Course Outline.mp4

5.5 MB

02.03.Descriptive Statistics to Summarize Data.mp4

8.1 MB

02.04.Introducing Hypothesis Testing.mp4

9.6 MB

02.05.Lady Tasting Tea.mp4

9.6 MB

02.06.The Power, Alpha and p-value of a Statistical Test.mp4

4.7 MB

02.07.Introducing the t-test.mp4

7.7 MB

02.08.One Sample Location t-test and the Z-Test.mp4

5.9 MB

02.09.Other Types of t-tests.mp4

12.2 MB

02.10.One-way ANOVA.mp4

12.4 MB

02.11.Two-way ANOVA.mp4

4.8 MB

02.12.Pearson's Chi2 Test.mp4

8.5 MB

02.13.Module Summary.mp4

2.8 MB

/03.Performing Hypothesis Testing in Python/

03.01.Module Overview.mp4

6.9 MB

03.02.Demo Preparing Data for Hypothesis Testing.mp4

19.8 MB

03.03.Demo Performing the Independent t-test.mp4

15.8 MB

03.04.Demo Performing Welch's t-test.mp4

16.2 MB

03.05.Demo Performing the Paired Difference t-test.mp4

12.8 MB

03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp4

13.2 MB

03.07.Demo Two-way ANOVA.mp4

21.6 MB

03.08.Demo Chi2 Analysis.mp4

18.4 MB

03.09.Module Summary.mp4

2.6 MB

/04.Implementing Predictive Models for Continuous Data/

04.01.Module Overview.mp4

2.2 MB

04.02.Introducing Linear Regression.mp4

6.8 MB

04.03.Minimizing Mean Square Error.mp4

6.1 MB

04.04.Multiple Regression and Adjusted R-square.mp4

8.7 MB

04.05.Demo Preparing Data for Simple Linear Regression.mp4

14.9 MB

04.06.Demo Linear ..Techniques.mp4

12.5 MB

04.07.Demo Visualizing Correlations in Data.mp4

8.8 MB

04.08.Demo Selecting..Using Correlations.mp4

13.8 MB

04.09.Demo Selecting..Mutual Information.mp4

6.5 MB

04.10.Module Summary.mp4

2.3 MB

/05.Implementing Predictive Models for Categorical Data/

05.01.Module Overview.mp4

3.1 MB

05.02.The Intuition behind Logistic Regression.mp4

11.3 MB

05.03.Logistic Regression and Linear Regression.mp4

5.9 MB

05.04.Accuracy, Precision, and Recall.mp4

10.4 MB

05.05.Demo Performing Classification Using Logistic Regression.mp4

15.6 MB

05.06.Demo Selecting..Information.mp4

55.7 MB

05.07.Summary and Further Study.mp4

9.2 MB

/

Exercise_file.zip

4.9 MB

 

Total files 46


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