bartczernicki/MachineLearning-BaseballPrediction-BlazorApp
Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)
This application helps baseball analysts, sports journalists, or enthusiastic fans make data-driven decisions about player performance, specifically around Hall of Fame induction probabilities. It takes historical player statistics as input and provides predictions and 'what-if' analysis, leveraging machine learning to offer a quantitative edge over purely human judgment. The end result is a deeper understanding of player potential and more informed decision-making.
Use this if you need to quantitatively analyze historical baseball player data to predict career outcomes like Hall of Fame induction, using various decision analysis tools and AI agents.
Not ideal if you're looking to predict real-time game outcomes or need to analyze aspects of baseball beyond position player Hall of Fame induction.
Stars
55
Forks
14
Language
HTML
License
MIT
Category
Last pushed
Nov 18, 2025
Commits (30d)
0
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