Educational implementation of a Single Layer Perceptron demonstrating linear regression and gradient descent from scratch in Python.
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Updated
May 3, 2026 - Python
Educational implementation of a Single Layer Perceptron demonstrating linear regression and gradient descent from scratch in Python.
Gradient Descent from scratch using Python, NumPy & Matplotlib — covers 1D/2D optimization, Linear Regression, and Vanilla GD vs Momentum comparison. 4 visual Jupyter notebooks. No ML libraries, just pure math and intuitive plots.
Simple neural network built from scratch in Python explaining each step of propagation.
Comparison and implementation of Perceptron vs SVM from scratch with visualization and decision boundary analysis
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