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种子名称： [FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python
文件类型： 视频
文件数目： 40个文件
文件大小： 411.82 MB
收录时间： 2020-2-24 21:09
已经下载： 3次
资源热度： 175
最近下载： 2024-11-17 13:47

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

01.Course Overview/01.01.Course Overview.mp411.12MB

02.Understanding Inferential Statistics/02.01.Module Overview.mp47.13MB

02.Understanding Inferential Statistics/02.02.Prerequisites and Course Outline.mp45.2MB

02.Understanding Inferential Statistics/02.03.Descriptive Statistics to Summarize Data.mp47.68MB

02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp49.14MB

02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp49.12MB

02.Understanding Inferential Statistics/02.06.The Power, Alpha and p-value of a Statistical Test.mp44.52MB

02.Understanding Inferential Statistics/02.07.Introducing the t-test.mp47.37MB

02.Understanding Inferential Statistics/02.08.One Sample Location t-test and the Z-Test.mp45.61MB

02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp411.6MB

02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp411.81MB

02.Understanding Inferential Statistics/02.11.Two-way ANOVA.mp44.56MB

02.Understanding Inferential Statistics/02.12.Pearson's Chi2 Test.mp48.1MB

02.Understanding Inferential Statistics/02.13.Module Summary.mp42.67MB

03.Performing Hypothesis Testing in Python/03.01.Module Overview.mp46.58MB

03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp418.89MB

03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp415.03MB

03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp415.41MB

03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp412.25MB

03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp412.6MB

03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp420.64MB

03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp417.58MB

03.Performing Hypothesis Testing in Python/03.09.Module Summary.mp42.52MB

04.Implementing Predictive Models for Continuous Data/04.01.Module Overview.mp42.12MB

04.Implementing Predictive Models for Continuous Data/04.02.Introducing Linear Regression.mp46.45MB

04.Implementing Predictive Models for Continuous Data/04.03.Minimizing Mean Square Error.mp45.81MB

04.Implementing Predictive Models for Continuous Data/04.04.Multiple Regression and Adjusted R-square.mp48.27MB

04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp414.22MB

04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp411.93MB

04.Implementing Predictive Models for Continuous Data/04.07.Demo Visualizing Correlations in Data.mp48.41MB

04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp413.21MB

04.Implementing Predictive Models for Continuous Data/04.09.Demo Selecting..Mutual Information.mp46.21MB

04.Implementing Predictive Models for Continuous Data/04.10.Module Summary.mp42.2MB

05.Implementing Predictive Models for Categorical Data/05.01.Module Overview.mp42.92MB

05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp410.76MB

05.Implementing Predictive Models for Categorical Data/05.03.Logistic Regression and Linear Regression.mp45.61MB

05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp49.88MB

05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp414.86MB

05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp453.09MB

05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp48.73MB