Luke is an aspiring data scientist with a background in Applied Mathematics, Mathematical Modeling, and Programming. He started learning data science due to his love of game and sport statistics and exposure from his prior job at Riot Games. His interests include technology, esports, sports, travel, entertainment, and digital therapeutics. He seeks to discover insights and trends to tell a story through machine learning and data science. His projects at NYCDSA include working with typhoon data visualization, NFL game data, FlightDeal data, and a collaborative filtering recommender system for beers, and he will be happy to share and discuss his project and learnings with you over one.
Introduction Kaggle competitions are a good place to leverage machine learning in answering a real-world industry-related question. A Kaggle competition consists of open questions presented by […]
*NOTE: Support of the Stattleship API, which powers NFL Compare!, has suddenly ended. Without further news, the app will be in the process of moving to […]
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