05:14
Performing Forward Selection on the Training set to reduce the number of predictors & Test error.
05:41
Performing Backward Elimination on the Training set to reduce the number of predictors & Test error.
06:34
Fitting Principle Component Model on the Training set - Minimum Cross Validation error & Test error
06:13
Fitting Lasso Regression on the training set with Lambda chosen by Cross Validation and Test Error.
05:56
Fitting Ridge Regression on the training set with Lambda chosen by Cross Validation and Test Error.
05:16
Fitting a Linear Model using Least Squares on the Training set and the Test error obtained using R
02:30
Splitting Data into Training and Testing Sets using R
04:36
Jarque-Bera test for normality on R
12:56
Homogeneous and Heterogeneous two tail t-test and f-test with dummy variables using R
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About
This Channel will focus on graduate coursework from:
Predictive Analytics, Time Series Analysis and other Statistics and Data Analytics courses.
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