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/fantasy_baseball_regression
Fantasy baseball focused predictive model for MLB season batting data.
ericcolon/linear-logistic-regression
Using the machine learning techniques of linear regression and logistic regression to build predictive models using game-level data from baseball.
ericcolon/WNBAballr
R package to pull WNBA data from basketball-reference.com. Package based on ballr package.
ericcolon/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.
ericcolon/artificial_intelligence_nba
ericcolon/baseballdatascience
Smaller R and Python scripts for baseballdatascience
ericcolon/basketball
WSA NBA Fanduel Optimizer
ericcolon/dfs-optimizer-nba
react application - daily fantasy sports lineup optimizer for NBA basketball - began on December 19, 2018
ericcolon/dfsgo
Genetic search lineup optimization framework for daily fantasy sports
ericcolon/dfspy
Daily fantasy sports lineup optimization package for Python.
ericcolon/draftfast
ericcolon/FantasyBaseballToolkit
A tool to check and compare player stats, see trends in player performance, as well as predict whether a player gets a hit on a given day.
ericcolon/MLB-StatsAPI
Python wrapper for MLB Stats API
ericcolon/nba-stats-model
Learning how to build a NBA Fantasy Projection Model in Python with Pandas
ericcolon/NBA_Minute_Prediction
Evaluating the best method for predicting the number of minutes played by an NBA Player
ericcolon/oktennis
ericcolon/predictive-models
A repo of the Data Scientist team's open source predictive models.
ericcolon/Random-Forests
Predicting Baseball Statistics: Random Forest Classification/Regression Application in Python Using scikit-learn
ericcolon/register
Chadwick persons register
ericcolon/RTML
R code and some tennis-related data
ericcolon/savantscraper
Using Python to add Baseball Savant data to a SQLite database
ericcolon/Tennis-Match-Prediction
Developed machine learning models using algorithms like SVM, Logistic Regression, Random Forest to predict the winner of the tournament, ranking and form of the player after the tournament using exploratory data analysis, feature engineering and data preprocessing.
ericcolon/tennis-predictor
Big Data application to analyse tennis games and predict future events.
ericcolon/tennis_betting
Aim to predict outcomes of ATP tennis matches using ML/stochastic modelling/ranking systems etc..
ericcolon/tennis_match_prediction
Research on calculating win probabilities in tennis matches.
ericcolon/tennis_modeling
Tennis modeling
ericcolon/TennisPrediction-1
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.
ericcolon/TennisPrediction-2
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.
ericcolon/TennisPrediction-3
ericcolon/UFC-MMA-Predictor
A web application built on dash to predict winners of a UFC fight