ML-algorithms-implementation

This repository aims to provide clear and concise implementations of popular machine learning algorithms. The goal is to help learners understand the underlying concepts and mathematics behind each algorithm.

Algorithms implemented

1. Linear Regression
   • Multiple Linear Regression
   • Metrics (MAE, MSE, RMSE, MAPE, R2)
   • Regularization (L1, L2, ElasticNet)
   • Stochastic Gradient Descent