E-DeLisle

E-DeLisle's Stars

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  310k7.7k33627k

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python12.4k2381.3k2.2k

• nicolashery/mac-dev-setup

  A beginner's guide to setting up a development environment on macOS

  Language:Shell5.6k19542925

• alpacahq/alpaca-trade-api-python

  Python client for Alpaca's trade API

  Language:Python1.7k109286528

• londonappbrewery/TinDog-Start

  Language:HTML1.4k81111.8k

• MartinHeinz/python-project-blueprint

  Blueprint/Boilerplate For Python Projects

  Language:Makefile9524130231

• alpacahq/alpaca-backtrader-api

  Alpaca Trading API integrated with backtrader

  Language:Python59931111143

• datacamp/course-resources-ml-with-experts-budgets

  Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

  Language:Jupyter Notebook556395637

• panzarino/mlbgame

  A Python API to retrieve and read MLB GameDay data

  Language:Python52655111112

• roclark/sportsipy

  A free sports API written for python

  Language:Python47529247189

• drivendataorg/box-plots-sklearn

  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

  Language:Jupyter Notebook298343201

• KengoA/fantasy-basketball

  Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm

  Language:Jupyter Notebook25123456

• sportdb/sport.db

  sport.db - open sports database (e.g. football.db, formula1.db etc.) command line tool and libraries

  Language:Ruby220141029

• christopherjenness/NBA-prediction

  Predict scores of NBA games using regularized matrix completion

  Language:Python151201243

• FranGoitia/basketball_reference

  Basketball Reference Scraper

  Language:Python9816844

• charlesmalafosse/sports-betting-customloss

  We present a way to incorporate bets' potential profit into a neural network classifier model using a custom loss function. We believe this to be extremely useful for anyone looking to use machine learning to create a betting system. It is what we do at BetSentiment.com.

  Language:Jupyter Notebook8211333

• Phisteven/scraping-bets

  Experiments with web srcaping from sports betting websites

  Language:Jupyter Notebook5010119

• wellsoliver/py-gameday

  Python scripts to pull down MLB Gameday files into a database

  Language:Python4812327

• marcopeix/stock-prediction

  Language:Jupyter Notebook4231134

• Jan17392/asianodds

  Smart API-Wrapper for the Asianodds Betting API - The go to service to automate your sports trading strategies or use as a data-feed for your service

  Language:Ruby35504

• enen92/script.module.thesportsdb

  Python module for thesportsdb.com

  Language:Python21946

• osanchez2323/Portfolio

  Language:Jupyter Notebook1412

• edwarddistel/baseball-probable-pitchers

  Get probable pitchers for MLB in JSON format

  Language:JavaScript10310

• lucasmoratof/stock_projects

  Repository created for all content related to stock and financial analysis.

  Language:Jupyter Notebook92

• hackingthemarkets/screener-watchlist

  creating a fundamental screener with IEXCloud and building a watchlist

  4102