Multilayer perceptron implemented from scratch for binary breast cancer classification on the Wisconsin dataset.
Key features
- From-scratch implementation: forward propagation, backpropagation, gradient descent
- Binary classification on the Wisconsin breast cancer dataset
- Configurable architecture: layers, neurons, activation functions
- Loss curve visualization with Matplotlib — pure NumPy, no ML framework
