This repository contains Python code implementing two gradient descent algorithms, Batch Gradient Descent and Stochastic Gradient Descent, to find the linear regression equation for a given dataset.

This project involves implementing Linear and Logistic Regression models from scratch and optimizing them using Gradient Descent, Gradient Descent with Momentum, and the Adam Optimizer. Below, you'll ...

We used gradient descent and Newton's method, along with backtracking line search, to determine optimal parameter values in linear regression. The obtained results for both models are accurate and are ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...