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GitHub / brprojects / MLS_model
In this project I predict the 2016 MLS season using historical data and Poisson regression. The project includes cleaning, preprocessing and analyzing the dataset, building and evaluating predictive models for match outcomes, forecasting team performance and simulating the league table. It uses Pandas, Numpy, MatPlotLib and StatsModel libraries.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brprojects%2FMLS_model
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 1.35 MB
Dependencies: pending
Created: over 1 year ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago
Topics: data-preparation, data-science, matplotlib, numpy, pandas, predictive-modeling, regression, statsmodel