Pinned Repositories
Daily-Fantasy-Basketball
Creating a winning daily fantasy sports lineup can be thought of as a selecting a winning coalition of representatives from a group of possible delegates. By modeling the problem of creating a winning lineup as a problem of finding decisive coalitions, the Banzhaf index can be used to evaluate the strength of individual fantasy players. This project explores the use of the Banzhaf index metric in relation to daily fantasy sports.
Data-Preprocessing
CSV data manipulation
engineering-core-values
football-player-analysis
Aggregates and analyzes NFL and College football data to understand metrics predictive of player
FootballWeatherDataConsolidator
Project
mlbgame
A Python API to retrieve and read MLB GameDay data
PositionalAnalysis
Projects
Various Programming Projects
Sports-Analytics
Data and analytics about the 2017 baseball season
Twitter-Sentiment-Anaysis
This is a collection of scripts that use machine learning algorithms to evaluate sentiment from twitter data. The data is represented in n-grams and 200 dimensional word2vec vectors.
edzelle's Repositories
edzelle/Daily-Fantasy-Basketball
Creating a winning daily fantasy sports lineup can be thought of as a selecting a winning coalition of representatives from a group of possible delegates. By modeling the problem of creating a winning lineup as a problem of finding decisive coalitions, the Banzhaf index can be used to evaluate the strength of individual fantasy players. This project explores the use of the Banzhaf index metric in relation to daily fantasy sports.
edzelle/Sports-Analytics
Data and analytics about the 2017 baseball season
edzelle/Data-Preprocessing
CSV data manipulation
edzelle/engineering-core-values
edzelle/football-player-analysis
Aggregates and analyzes NFL and College football data to understand metrics predictive of player
edzelle/FootballWeatherDataConsolidator
Project
edzelle/mlbgame
A Python API to retrieve and read MLB GameDay data
edzelle/PositionalAnalysis
edzelle/Projects
Various Programming Projects
edzelle/Twitter-Sentiment-Anaysis
This is a collection of scripts that use machine learning algorithms to evaluate sentiment from twitter data. The data is represented in n-grams and 200 dimensional word2vec vectors.
edzelle/Web-Database
This was a project that I completed that maps the possible classes that students could take to reach their desired majors. The data I used came from the Emory Major Requirements database and contained only fields within the Math and Computer Science Departments.