This repository contains two Python implementations of linear regression.
Scikit-Learn Multiple Linear Regression: A straightforward implementation using sklearn.linear_model.LinearRegression to perform multiple linear regression on a random created dataset. Custom Linear Regression Class: A manually implemented linear regression model for which i have used diabetes dataset.
Features
✅ Scikit-Learn model for quick and efficient regression modeling.
✅ Custom implementation for understanding the inner workings of linear regression.
✅ Comparison of both approaches on the same dataset.
✅ Also i have plot the scatter plot.
Feel free to clone, modify, and experiment!