Tutorial 24 - Multiple Linear Regression Implementation With Python (Python With DS/ML)

Multiple Linear Regression with Python in this hands-on tutorial!

Introduction to Multiple Linear Regression: Understand the basics and where it's used in real-world scenarios.

Dataset Preparation: Learn how to load and preprocess data for analysis.
Building the Model: Use libraries like scikit-learn to implement and train your regression model.
Evaluating Performance: Master metrics like Mean Squared Error (MSE), R-squared, and more.
Visualization: Plot regression lines and data points using matplotlib for better insights.
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