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Linear Regression Implementation

This repository contains an implementation of both Single and Multiple Linear Regression from scratch using Python. The project includes the following key steps:

  • Implementing the linear regression algorithm.
  • Plotting the best fit line on a graph.
  • Evaluating the regression model using key metrics: Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R² Score, and Adjusted R² Score.