PGD AI ML Using Python Linear Regression Models Session 4 1

This session introduces Unsupervised Machine learning using Python and covers liner regression with example helping the concept of  data collection, Model building using training and validating besides test data to score the accuracy of model, its statistical analysis with Z-tests, RMSE etc cover practical aspects of implementations and various best practices to adapt with  central limit and confidence level of null and alternate hypothesis. The Multivariable Linear Regression Model is covered in Session 4 2 latert.