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Most tutorials teach you the API. This guide teaches you what's actually happening inside a neural network — forward pass, backprop, and why depth matters.
Learn to build deep learning models with PyTorch from scratch. Covers tensors, neural networks, training loops, and your first image classifier — hands-on for real beginners.
Start your machine learning journey with Python and scikit-learn. Build real ML models, understand the ML workflow, and go from raw data to predictions — complete beginner guide.
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