Improve Existing Machine Learning Model for Football Predictions -- 2
Budget: $10 – $30 USD
Description:
I have an existing Python script that trains machine-learning models for football match predictions using historical and current season data from github.
The script predicts match outcomes using:
✔ Poisson Distribution
✔ Bivariate Poisson Model
✔ Monte Carlo Simulation
✔ XGBoost Regression
What I Need:
? Modify the script to read data from CSV files (historical & fixture data)
? Train models from CSV files for each league
? Predict match outcomes from a fixtures CSV file
? Ensure clean, structured output (CSV/Excel)
Skills Required:
✔ Python (Pandas, NumPy)
✔ Machine Learning (XGBoost, Scikit-learn)
✔ Football Data Analytics
✔ Statistical Modeling (Poisson, Monte Carlo)
? Budget: Flexible
⏳ Deadline: ASAP
If you have experience in football analytics & machine learning, let’s collaborate! ⚽?
I have an existing Python script that trains machine-learning models for football match predictions using historical and current season data from github.
The script predicts match outcomes using:
✔ Poisson Distribution
✔ Bivariate Poisson Model
✔ Monte Carlo Simulation
✔ XGBoost Regression
What I Need:
? Modify the script to read data from CSV files (historical & fixture data)
? Train models from CSV files for each league
? Predict match outcomes from a fixtures CSV file
? Ensure clean, structured output (CSV/Excel)
Skills Required:
✔ Python (Pandas, NumPy)
✔ Machine Learning (XGBoost, Scikit-learn)
✔ Football Data Analytics
✔ Statistical Modeling (Poisson, Monte Carlo)
? Budget: Flexible
⏳ Deadline: ASAP
If you have experience in football analytics & machine learning, let’s collaborate! ⚽?