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# Numpy imnplementation of a couple of ML Algorithms
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# Numpy implementation of some ML Algorithms
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This repo contains a numpy from-scratch implementation of some ML algorithms, initially designed for the MNIST Digit classification task (~3% error, averaged over 20 runs of 5 fold cross-validation)
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- [x] kNN
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- [x] 3 Layer MLP (ReLU & Softmax activations), Cross-Entropy Loss
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- [x] Least Squares
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- [x] Winnow
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- [x] One-vs-One and One-vs-All Kernel Perceptron
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- [x] One-vs-One and One-vs-All Muliticlass Kernel Perceptron
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