This project utilized the K-means algorithm and Principal Component Analysis (PCA) to group cryptocurrencies based on profitability and price fluctuations over various timeframes. By optimizing clusters, the model provides insights to help assemble diversified investment portfolios.
Developed an interactive food truck ordering system using Python, leveraging variables, lists, dictionaries, and iteration to store orders and generate receipts, applying foundational programming concepts from weeks 1 and 2.