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KNN Algorithm in Machine Learning: Build It from Scratch (NumPy Only)
In this video, I build the K-Nearest Neighbors algorithm completely from scratch using nothing but NumPy. No scikit-learn, no machine learning frameworks, no shortcuts. Just raw Python and math. We use the MNIST dataset — 70,000 handwritten digit images — and classify them using KNN. Each image is 28x28 pixels, which gives us 784 features ...
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