MLB Prospect Predictor

A complete pipeline that collects and enriches historical MLB data, trains a RandomForest model to predict future batting averages, and uses Gemini to generate insightful summaries.

Comment

I built the MLB Prospect Predictor during the Google Cloud x MLB Hackathon to explore the intersection of baseball analytics and AI. Inspired by MLB's rich historical data, this project aims to predict a prospect's future batting performance by leveraging advanced machine learning techniques and detailed game statistics.

Share this project:

Updates