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Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.
A collection of PyTorch basics and experiments covering tensors, autograd, and neural network components. Ideal for beginners exploring deep learning with hands-on examples.