This project uses supervised machine learning models to predict the number of calories burned during a workout based on biometric and activity features such as age, weight, duration, heart rate, an...

This project builds a basic image processing system and a KNN machine learning classifier from scratch.

Visualizes San Diego’s bus network, simulates bus arrivals and passenger wait times, and analyzes how real transit patterns differ from theoretical models.