Giter VIP home page Giter VIP logo

aus-open-datathon's Introduction

Welcome! ๐Ÿ‘‹

Hi there and welcome to my public profile!

My name is Jason, and I'm a Data Scientist at the Reece Group. I now find myself doing less on "the tools" and more in the leadership space, so my personal projects are a nice way to keep some of my technical skills sharp!

Contact Me!

Personal Website Badge Email Badge Twitter Badge LinkedIn Badge GitHub Badge


Coffee (Server Time)


๐Ÿ“ฆ Packages Created

  • worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
  • nblR - To quickly and efficiently load Australian basketball statistics from the NBL
  • euroleagueR - To quickly and efficiently load Euroleague basketball statistics
  • bettRtab - An R client to interact with the API of Australian betting company TAB
  • chessR - An R package designed to extract and analyse chess game data played on Lichess and chess.com

Contributed


๐Ÿ“ฑ Applications


๐Ÿ“Š๐Ÿ“ˆ๐Ÿ“‰ Popular Posts

Getting started with R and worldfootballR

This post takes the reader on the steps necessary to download and install R and worldfootballR and get started with no coding experience: https://www.dontblamethedata.com/blog/extract-data-using-worldfootballr/

Predicting AFL crowd attendance

A post pre-COVID that attempted to predict the size of AFL crowds: https://www.dontblamethedata.com/blog/building-a-linear-regression-model-in-r-to-predict-afl-crowds/

Finding the AFL 'Bandwagon supporters' teams

A tongue-in-cheek attempt to quantify the term 'bandwagon jumpers' of team supporters in the AFL: https://www.dontblamethedata.com/blog/using-data-to-determine-which-afl-fans-jump-onthe-bandwagon/

FIFA19 data deep dive

An early analysis I did on Kaggle that took a deep look at player data from the popular game series FIFA to help players identify players to target for career leagues: https://www.kaggle.com/jaseziv83/clustering-to-help-club-managers

NCAA Men's March Madness

Another Kaggle EDA for the annual March Madness competition run by Kaggle: https://www.kaggle.com/jaseziv83/a-recent-deep-look-at-the-men-s-ncaab

aus-open-datathon's People

Contributors

jaseziv avatar

Watchers

 avatar  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.