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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.