Applied Fundamentals of Machine Learning

A collection of deep learning software developed through the course APS360 - Applied Fundamentals of Machine Learning. Programs implemented in Python with utilization of NumPy and PyTorch libraries.

This repository includes software for the following tasks:

1. Introduction to PyTorch and Neural Networks
2. Classification of Cats and Dogs
3. Hand Gesture Recognition
4. Data Imputation
5. Spam Detection