This repository contains a step-by-step implementation of Gradient Descent, along with a custom-built GD Regressor and an animation demonstrating the optimization process.
Repository Structure
1_Gradient_Descent_Workflow.ipynb – A detailed, step-by-step walkthrough of how Gradient Descent works.
2_GD_Regressor_from_scratch.ipynb – A custom-built Gradient Descent-based Regressor implemented from scratch.
3_GD_Animation.ipynb – A visualization demonstrating how the regression line starts from a random position and converges to the optimal fit.
Features
✅ Step-by-step explanation of Gradient Descent
✅ Implementation of a regression model using GD
✅ Animated visualization of the optimization process
Feel free to explore, modify, and contribute!