Dylan Jiménez
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Machine Learning

Premier League Predictions

RandomForest model predicting Premier League results, served through a REST API + React UI.

Stack

Python / Scikit-learn / Pandas / FastAPI / React.js

Premier League Predictions screenshot

The project

Trained on years of match history. Goals, form, and team stats feed the model. A RandomForestRegressor model that predicts Premier League match outcomes from historical data: goals scored, recent form, and head-to-head record. Wrapped in a REST API with a React front end for querying predictions.

What it does

  • Historical data analysis
  • RandomForest model
  • Multi-variable predictions
  • REST API + web UI

What I learned

Data processing, feature selection, and interpreting ML model outputs for real prediction tasks.

Next project

Azzurri

Contact

Costa Rica · Remote

Costa Rica, UTC−6

Got a role or a project in mind? Write to me.