Giter VIP home page Giter VIP logo

bayesian-football-match-prediction's Introduction

bayesian-football-match-prediction

Using Bayesian Inference to predict football match wins.

There is also a notebook on non-bayesian methods for comparison. Using the tradiitional Logistic Regression, Random Forrest, XGBoost, CatBoost and SVC.

Medium article.

Full Posterior Samples

  • posterior_samples.RData contains the MCMC samples of the posterior distribution.

It can be loaded up into R.

Traceplots

Alt text Alt text

Moving Averages Plots

Alt text Alt text Alt text Alt text

bayesian-football-match-prediction's People

Contributors

adilsaid64 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.