A curated collection of hands-on notebooks exploring core machine and deep learning concepts. Each notebook focuses on a specific topic - from linear models and foundational elements like broadcasting and autograd to advanced tasks such as custom layers, transfer learning, sequence modeling with RNNs, and representation learning with autoencoders.
python machine-learning linear-regression pytorch artificial-intelligence neural-networks software-development logistic-regression perceptron linear-models algorithm-development perceptron-learning-algorithm
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Updated
Oct 13, 2026 - Jupyter Notebook