Machine Learning Projects From Scratch

A set of Machine Learning Projects developer from scratch. Serves as a Portfolio project.

🚧 In progress ...

Repository Structure

Project	📘Description	🔑 Key Change	Link
Stable 1.0	Linear Regression model built from scratch: Input Features: 1 Output Features: 1 Loss: MSE (Mean Squared Error) Optimizer: None (manual gradient descent) Activation: Linear	None	Link
Stable 1.1	Linear Regression model built from scratch: Input Features: 1 Output Features: 1 Loss: MSE (Mean Squared Error) Optimizer: Custom with Learning Rate Scheduler Activation: Linear	A Custom Optimizer with a Learning Rate Scheduler. An automatic Weight Update	Link
Stable 1.2	Linear Regression model built from scratch: Input Features: 2 Output Features: 1 Loss: MSE (Mean Squared Error) Optimizer: Custom Momuntum-based Activation: Linear	Momentum Based Optimizer Multi Input: 2	Link
Stable 2.0	Linear Regression model built from scratch: Layers: 2 Input Features: 2 Output Features: 1 Loss: MSE (Mean Squared Error) Optimizer: Adam Activation: ReLU	Adam Optimizer ReLU Activation Multi-Layer Network Non-linear Problem	Link