This repository contains an implementation of gradient descent for linear regression using Python. The purpose of this project is to demonstrate how gradient descent can be used to optimize a simple ...

Gradient descent is a fundamental optimization algorithm widely used in machine learning and numerical optimization. It is employed to minimize a cost function iteratively by adjusting the parameters ...

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm.

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Donald Trump's Epstein problem keeps coming back Michael ...