This project demonstrates the implementation of the Gradient Descent algorithm to fit a linear regression model. The goal is to minimize the Mean Squared Error (MSE ...

AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that combines multiple "weak" classifiers to create a powerful ensemble classifier. The algorithm iteratively trains weak ...