[FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python
File List
- 05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp4 53.1 MB
- 03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp4 20.6 MB
- 03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp4 18.9 MB
- 03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp4 17.6 MB
- 03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp4 15.4 MB
- 03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp4 15.0 MB
- 05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp4 14.9 MB
- 04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp4 14.2 MB
- 04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp4 13.2 MB
- 03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp4 12.6 MB
- 03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp4 12.3 MB
- 04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp4 11.9 MB
- 02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp4 11.8 MB
- 02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp4 11.6 MB
- 01.Course Overview/01.01.Course Overview.mp4 11.1 MB
- 05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp4 10.8 MB
- 05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp4 9.9 MB
- 02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp4 9.1 MB
- 02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp4 9.1 MB
- 05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp4 8.7 MB
- 04.Implementing Predictive Models for Continuous Data/04.07.Demo Visualizing Correlations in Data.mp4 8.4 MB
- 04.Implementing Predictive Models for Continuous Data/04.04.Multiple Regression and Adjusted R-square.mp4 8.3 MB
- 02.Understanding Inferential Statistics/02.12.Pearson's Chi2 Test.mp4 8.1 MB
- 02.Understanding Inferential Statistics/02.03.Descriptive Statistics to Summarize Data.mp4 7.7 MB
- 02.Understanding Inferential Statistics/02.07.Introducing the t-test.mp4 7.4 MB
- 02.Understanding Inferential Statistics/02.01.Module Overview.mp4 7.1 MB
- 03.Performing Hypothesis Testing in Python/03.01.Module Overview.mp4 6.6 MB
- 04.Implementing Predictive Models for Continuous Data/04.02.Introducing Linear Regression.mp4 6.4 MB
- 04.Implementing Predictive Models for Continuous Data/04.09.Demo Selecting..Mutual Information.mp4 6.2 MB
- 04.Implementing Predictive Models for Continuous Data/04.03.Minimizing Mean Square Error.mp4 5.8 MB
- 02.Understanding Inferential Statistics/02.08.One Sample Location t-test and the Z-Test.mp4 5.6 MB
- 05.Implementing Predictive Models for Categorical Data/05.03.Logistic Regression and Linear Regression.mp4 5.6 MB
- 02.Understanding Inferential Statistics/02.02.Prerequisites and Course Outline.mp4 5.2 MB
- Exercise_file.zip 4.7 MB
- 02.Understanding Inferential Statistics/02.11.Two-way ANOVA.mp4 4.6 MB
- 02.Understanding Inferential Statistics/02.06.The Power, Alpha and p-value of a Statistical Test.mp4 4.5 MB
- 05.Implementing Predictive Models for Categorical Data/05.01.Module Overview.mp4 2.9 MB
- 02.Understanding Inferential Statistics/02.13.Module Summary.mp4 2.7 MB
- 03.Performing Hypothesis Testing in Python/03.09.Module Summary.mp4 2.5 MB
- 04.Implementing Predictive Models for Continuous Data/04.10.Module Summary.mp4 2.2 MB
- 04.Implementing Predictive Models for Continuous Data/04.01.Module Overview.mp4 2.1 MB
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