Linear Regression Implementations

This folder contains two implementations of Linear Regression:

1. linear_regression_scratch.py - Implementation of Linear Regression from scratch using numpy
2. linear_regression_sklearn.py - Implementation using scikit-learn's built-in LinearRegression

Theory

Linear Regression is a supervised learning algorithm that models the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a linear equation to the observed data.

Requirements

• numpy
• pandas
• matplotlib
• scikit-learn