Using machine learning to predict the best defenders in the 2018 draft.
☆16Jun 20, 2018Updated 8 years ago
Alternatives and similar repositories for draft-class-defenders-ml
Users that are interested in draft-class-defenders-ml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Displaying team performance against player rotations during NBA games☆18Sep 18, 2020Updated 6 years ago
- Short, offhand analyses of the NBA☆42Dec 9, 2018Updated 7 years ago
- College football database - data store for all sorts of data and statistics pertaining to college football☆26Oct 12, 2018Updated 7 years ago
- Python parser for the Feed Item Query Language (FIQL)☆12Sep 3, 2023Updated 3 years ago
- Quantifying dynamic player value using machine learning concepts☆26Feb 27, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Analyzing NBA Data☆12Feb 19, 2015Updated 11 years ago
- Materials for First-Year Seminar in Statistics in Sports (Fall 2023) at Oxford College of Emory University☆13Sep 24, 2024Updated 2 years ago
- R files containing the code used to predict rugby world cup matches☆11Sep 18, 2015Updated 11 years ago
- Project evaluating player skill under pressure using Statsbomb public event level data☆12Jun 22, 2019Updated 7 years ago
- A collection of ggplot2 extensions and scripts for graphics in R☆14Sep 19, 2018Updated 8 years ago
- ☆11Sep 30, 2022Updated 3 years ago
- Convert Sports Betting Odds☆13Jul 9, 2018Updated 8 years ago
- NBA stats and analysis☆11Feb 26, 2023Updated 3 years ago
- Reader and writer for the TensorFlow Record file format☆14Jun 24, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A collection of python notebooks exploring popular methods for rating sports teams (and other things)☆11Sep 7, 2017Updated 9 years ago
- An application for "evolving" near-optimal offensive play calling strategies.☆11Feb 10, 2020Updated 6 years ago
- This is an R translated version of Devin Pleuler's Applied Soccer Analytics with Python☆10Mar 14, 2019Updated 7 years ago
- Live Pt-by-Pt Prediction of ATP Tennis Win Probability☆10Jul 19, 2018Updated 8 years ago
- This repository includes all the code and data used for developing the expected league points above replacement for soccer as described i…☆14Jan 22, 2019Updated 7 years ago
- Scraping and Analysis of NFL Drives☆14Oct 5, 2014Updated 11 years ago
- ☆11Jun 5, 2023Updated 3 years ago
- NBA Data repo used for Learn With Jabe YouTube videos☆10Sep 4, 2021Updated 5 years ago
- Automatically exported from code.google.com/p/oddschecker-api☆11Oct 20, 2015Updated 10 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Application for generating college football score and win probability predictions using neural networks☆13Dec 21, 2017Updated 8 years ago
- mess with the NHL data API☆11Jun 5, 2019Updated 7 years ago
- Betting lines from pinnacle for data research☆11Jul 19, 2017Updated 9 years ago
- Code for MIT Sloan Sports Analytics Conference☆11Dec 3, 2017Updated 8 years ago
- Modeling and Simulation for the 2018 FIFA World Cup☆10Jul 15, 2018Updated 8 years ago
- A collection of projects done for the Yale Undergraduate Sports Analytics Group☆12Dec 14, 2018Updated 7 years ago
- ☆11Oct 15, 2019Updated 6 years ago
- ☆12Jun 22, 2015Updated 11 years ago
- Code, analysis, and data for estimating team strengths from odds data☆14Nov 24, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Jul 19, 2022Updated 4 years ago
- A ruby interface for the NBA.com stats JSON API.☆12Apr 3, 2015Updated 11 years ago
- Using machine learning to classify NBA players☆10Mar 4, 2021Updated 5 years ago
- Using machine learning to find the best and worst value contracts☆10Jan 3, 2020Updated 6 years ago
- Using Selenium to web scrape Basketball-Reference.com☆11Mar 21, 2017Updated 9 years ago
- Using machine learning to predict the All-NBA teams☆12Feb 4, 2020Updated 6 years ago
- Evaluating the best method for predicting the number of minutes played by an NBA Player☆13Dec 7, 2018Updated 7 years ago