Understanding and Applying Linear Regression
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-5-7 17:25 | 2024-4-28 00:26 | 145 | 481.1 MB | 44 |
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文件列表
- 01 - Course Overview - Course Overview.mp44.39MB
- 02 - Modeling Relationships Between Variables Using Regression - Connecting the Dots Using Linear Regression.mp49.02MB
- 03 - Modeling Relationships Between Variables Using Regression - Reasons for Using Regression.mp410.88MB
- 04 - Modeling Relationships Between Variables Using Regression - Versatility of Regression.mp43.38MB
- 05 - Modeling Relationships Between Variables Using Regression - Regression as Machine Learning.mp47.7MB
- 06 - Modeling Relationships Between Variables Using Regression - Mean and Variance.mp44.5MB
- 07 - Modeling Relationships Between Variables Using Regression - Probability Distributions and the Bell Curve.mp49.32MB
- 08 - Understanding Simple Regression Models - Setting up the Regression Problem.mp46.15MB
- 09 - Understanding Simple Regression Models - The Best Fit Line.mp45.53MB
- 10 - Understanding Simple Regression Models - A Quick Taste of Regression in Excel.mp411.04MB
- 11 - Understanding Simple Regression Models - Solving the Regression Problem.mp46.53MB
- 12 - Understanding Simple Regression Models - Residuals and the Regression Assumptions.mp47.55MB
- 13 - Understanding Simple Regression Models - Explaining Variance Using Simple Regression.mp46.35MB
- 14 - Understanding Simple Regression Models - R-squared as Variance Explained.mp48.24MB
- 15 - Understanding Simple Regression Models - Prediction Using Simple Regression.mp48.84MB
- 16 - Implementing Simple Regression Models in Excel - Applying Simple Regression.mp49.86MB
- 17 - Implementing Simple Regression Models in Excel - Violations of Regression Assumptions.mp415.74MB
- 18 - Implementing Simple Regression Models in Excel - Fast Prototyping in Excel.mp422.92MB
- 19 - Implementing Simple Regression Models in Excel - Slope, Intercept, and Prediction.mp424.03MB
- 20 - Implementing Simple Regression Models in Excel - Poorly Specified Regression Models.mp417.4MB
- 21 - Implementing Simple Regression Models in R - R for Regression.mp47.65MB
- 22 - Implementing Simple Regression Models in R - Data Frames in R.mp412.25MB
- 23 - Implementing Simple Regression Models in R - Regressing Returns, Not Prices.mp415.88MB
- 24 - Implementing Simple Regression Models in R - Prediction with Regression in R.mp411.4MB
- 25 - Implementing Simple Regression Models in Python - When Python Is the Right Tool for Regression.mp46.21MB
- 26 - Implementing Simple Regression Models in Python - Using Pandas and NumPy.mp410.94MB
- 27 - Implementing Simple Regression Models in Python - Linear Regression as Machine Learning.mp411.15MB
- 28 - Understanding Multiple Regression Models - Introducing Multiple Regression.mp411.2MB
- 29 - Understanding Multiple Regression Models - Risks in Multiple Regression.mp48.34MB
- 30 - Understanding Multiple Regression Models - Detecting Multicollinearity.mp49.21MB
- 31 - Understanding Multiple Regression Models - Multicollinearity - Prevention and Cure.mp48.69MB
- 32 - Understanding Multiple Regression Models - Benefits of Multiple Regression.mp45.74MB
- 33 - Understanding Multiple Regression Models - Interpreting the Results of a Regression Analysis.mp47.72MB
- 34 - Understanding Multiple Regression Models - Categorical Variables.mp410.66MB
- 35 - Implementing Multiple Regression Models in Excel - Introducing Linest in Excel.mp48.9MB
- 36 - Implementing Multiple Regression Models in Excel - Standard Errors.mp412.18MB
- 37 - Implementing Multiple Regression Models in Excel - T-statistics and P-values.mp46.86MB
- 38 - Implementing Multiple Regression Models in Excel - The F-statistic.mp48.34MB
- 39 - Implementing Multiple Regression Models in Excel - Multiple Regression with Linest.mp417.17MB
- 40 - Implementing Multiple Regression Models in Excel - Categorical Variables in Excel.mp421.69MB
- 41 - Implementing Multiple Regression Models in R - Multiple Regression in R.mp418.8MB
- 42 - Implementing Multiple Regression Models in R - Categorical Variables Without an Intercept in R.mp417.25MB
- 43 - Implementing Multiple Regression Models in Python - Multiple Regression in Two Different Ways.mp416.83MB
- 44 - Implementing Multiple Regression Models in Python - Categorical Variables.mp416.66MB
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