Neural Network Implementation with Numpy

This repository contains a simple neural network implementation from scratch using the NumPy library. The framingham_classifier.py is trained on the Framingham Heart Study dataset for binary classification and the mnist_model.py is trained on the MNIST dataset for digit recognition.

Requirements

• NumPy
• Scikit-learn (for data preprocessing)
• Matplotlib (for visualization)

You can install the required libraries using pip:

pip install numpy scikit-learn matplotlib