Pinned Repositories
afl-modelling-session-2019
This repo will contain the data and files used in the AFL Modelling Sessions held in April, 2019 in Melbourne, Brisbane, Gold Coast and Sydney.
Analytical-Decision-Making-in-Daily-Fantasy-Sports
This is a project my team completed for the Queen's Master of Management Analytics course on Analytical Decision Making. The project focuses on optimization and simulation modelling in relation to Daily Fantasy Sports (specifically MLB).
corsica
DraftKings_DFS
NFL DraftKings projections using PLS and Random Forest
fantasy_baseball_regression
Fantasy baseball focused predictive model for MLB season batting data.
linear-logistic-regression
Using the machine learning techniques of linear regression and logistic regression to build predictive models using game-level data from baseball.
soltrade
Python trading bot using the Solana blockchain.
tennis_atp
ATP Tennis Rankings, Results, and Stats
twelvedata-python
Twelve Data Python Client - Financial data API & WebSocket
WNBAballr
R package to pull WNBA data from basketball-reference.com. Package based on ballr package.
ericcolon's Repositories
ericcolon/Analytical-Decision-Making-in-Daily-Fantasy-Sports
This is a project my team completed for the Queen's Master of Management Analytics course on Analytical Decision Making. The project focuses on optimization and simulation modelling in relation to Daily Fantasy Sports (specifically MLB).
ericcolon/awesome-cli-apps
🖥 📊 🕹 🛠 A curated list of command line apps
ericcolon/Baseball-Analysis
Beginner level exploration of baseball data, analysis, and modelling with R.
ericcolon/data-cleansing-daily-fantasy
Cleaning, exploring, and modeling daily fantasy sports data
ericcolon/deuce
R package for web scraping of tennis data
ericcolon/dfs-optimizer
A web application project used to analyze fantasy football player data
ericcolon/dfs-solver
ericcolon/DFS_Hockey
Code for pulling together hockey data / stats; will ideally be developed into a working automated lineup builder
ericcolon/dfstools
Daily Fantasy Sports Tools
ericcolon/dotfiles
My personal collection of various dotfiles
ericcolon/draft-kings-fun
A tool to automate and optimize DraftKings and FanDuel lineup construction.
ericcolon/Draft-Kings-Genetic-Solution
Applies a genetic algorithm to solve the knapsasck 0-1 problem that is daily fantasy football.
ericcolon/fantasy-basketball
Scraping statistics, predicting NBA player performance with machine learning, and optimising lineups for Draft Kings. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.
ericcolon/fantasy_bball_shiny
Shiny: scraps daily data from the NBA and calculates different statistics for all players. Was win leader in a Fantasy League thanks to this! Unluckily lost in the first round of the playoffs, though.
ericcolon/hltv_betting_odds_scraper
Retrieves upcoming match betting odds
ericcolon/installr
Functions for installing softwares from within R
ericcolon/iTerm2-Color-Schemes
Over 175 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, and Terminator)
ericcolon/mysportsfeeds-node
NodeJS wrapper for the MySportsFeeds Sports Data API
ericcolon/NBA-DFS-1
ericcolon/nba-fantasy
🏀 NBA DFS Lineup Optimizer
ericcolon/NBA-Lineup-Optimization
A short paper describing a method of optimizing roster rotations via data analytics.
ericcolon/nba_api
An API Client package to access the APIs for NBA.com
ericcolon/nba_r
Prediciting players score using key inputs
ericcolon/nfl-elo-game
Data and code for FiveThirtyEight's NFL game
ericcolon/nfl_dfs
Repository for NFL DFS analyses (Scraping, Modeling, Optimizing, EDA)
ericcolon/rotogrinders-projections
Take the Rotogrinders projections and spit out some optimized daily fantasy lineups
ericcolon/shinycoach
GUI for Coach Lineup Optimizer
ericcolon/tennis_bayes_point_based
Code for "A point-based Bayesian hierarchical model to predict the outcome of tennis matches"
ericcolon/Tennis_probabilistic_model
A comparative analysis between using player profiling and in match statistics to predict tennis matches between players
ericcolon/TennisPrediction
This project proposes a novel approach for tennis modeling by introducing stacking, an ensemble learning technique used to combine information from multiple predictive models to generate a new model, a so called super learner. A historical dataset of 101295 ATP tennis matches played between 2004-2014 is used to train the meta-model.