Multiple Linear Regression — Python Implementation

In this lecture, we implement Multiple Linear Regression from scratch using Python and Scikit-Learn. We'll build a model to predict startup profits based on R&D Spend, Administration, Marketing Spend, and State variables. You'll learn about feature selection, backward elimination, and model evaluation.

Key Topics Covered:

• Implementing MLR with Scikit-Learn
• Feature selection using backward elimination
• Encoding categorical variables
• Evaluating model with R² & Adjusted R²
• Making predictions with the model