Machine Learning Projects From Scratch
A set of Machine Learning Projects developer from scratch. Serves as a Portfolio project.
Project
📘Description
🔑 Key Change
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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
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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
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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
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Stable 2.0
Linear Regression model built from scratch: Layers : 2Input Features: 2 Output Features: 1 Loss: MSE (Mean Squared Error) Optimizer: Adam Activation: ReLU
Adam Optimizer ReLU Activation Multi-Layer Network Non-linear Problem
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