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Name: Eric Colon
Type: User
Name: Eric Colon
Type: User
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.
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).
Predictive model for guessing the winner of an ATP Tennis match [python].
Exploring the capabilities of some ML models as well as simple Multi Perceptron Neural Net to predict results of the tennis ATP matches .
A strategy for tennis matches betting
🖥 📊 🕹 🛠 A curated list of command line apps
Interactive NBA and NCAA Shot Charts with R and Shiny
Beginner level exploration of baseball data, analysis, and modelling with R.
Baseball predictive model using Gradient Boosted Tree.
a set of programs that can predict stats for baseball players
Smaller R and Python scripts for baseballdatascience
WSA NBA Fanduel Optimizer
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Calculates Bradley Terry ratings given teams, games and records
Machine learning algorithm for predicting Daily Fantasy Sports points for NBA players with lineup optimization model for NYCDSA Project 4
Lineup optimization for daily fantasy sports
Automated Tennis betting on tennis abstract data and pinnacle
Started as a personal project and has turned into the main tool I use for my Daily fantasy analysis... Graduated from excel to R and just keep building, projecting, and winning money every day :)
Data science and analysis of fantasy football games. Predictive modeling for daily fantasy contests
Predictive Analytics using Daily Fantasy Sports (Hockey & Basketball)
Here is a simple genetic algorithm to produce lineups for daily fantasy contests on DraftKings.
Cleaning, exploring, and modeling daily fantasy sports data
Useful scripts to automate trading on different DEX
A repository to follow along with Andrew Trask's "Grokking Deep Learning" by modelling baseball statistics using various architectures of neural networks built from scratch.
Daily Fantasy Sports lineup optimzer using Python and or-tools
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.