Giter Site home page Giter Site logo

italoadler / predicting_winning_teams Goto Github PK

View Code? Open in Web Editor NEW

This project forked from llsourcell/predicting_winning_teams

0.0 1.0 0.0 348 KB

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Jupyter Notebook 100.00%

predicting_winning_teams's Introduction

Predicting_Winning_Teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Overview

This is the code for this video on Youtube by Siraj Raval. We're going to predict whether or not the home team will win given a set of other statistics. The dataset for this was retrieved from this site.

Dependencies

  • scikit-learn
  • xgboost
  • pandas

Install missing dependencies with pip.

Usage

Run jupyter notebook in terminal, then the code will pop up in your browser.

Install jupyter here.

Credits

Credits for this code go to RUdrakshTuwani. I've merely created a wrapper to get people started

predicting_winning_teams's People

Contributors

llsourcell avatar

Watchers

James Cloos 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.