L35: Multiple linear regression | implementation in python
Welcome to Lecture 35 of the course "Business Analytics" by Prof. Rahul R Marathe .
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Video Overview
Learn how to implement Multiple Linear Regression in Python using both StatsModels and Scikit learn in this practical tutorial by S Srivatsa Srinivas from IIT Madras. This session walks through data preparation using Pandas and NumPy, model building in Google Colab, VIF calculation to detect multicollinearity, and performance evaluation using residual plots and RMSE. We demonstrate how to use both StatsModels and sklearn to interpret coefficients, R squared, adjusted R squared, and p values. Ideal for learners exploring regression modeling, data science, or statistical analysis.
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