NNBuilder is a lightweight, chainable utility class built on top of PyTorch’s `nn.Module`, designed to simplify the construction of sequential, fully‑connected neural networks.

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.