TShankles30's repositories
sports_betting_with_reinforcement_learning
This is the code for "Sports Betting with Reinforcement Learning" By Siraj Raval on Youtube
Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
predicting_stock_prices
This is the coding challenge for "Predicting Stock Prices" by @Sirajology on Youtube
AI_in_Finance
This is the code for "AI in Finance" By Siraj Raval on Youtube
fastai
The fastai deep learning library, plus lessons and tutorials
models
A collection of pre-trained, state-of-the-art models in the ONNX format
python-dlpy
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
MLB-StatsAPI
Python wrapper for MLB Stats API
baseball
Working to learn coding through baseball
liteSaber
MLB Gameday Scraping and Modeling With Sabermetrics
MLB-Olympus-Wagering
Combining Bill James, data science, risk, and odds for the love of the game
pybaseball
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
MLB_prediction
Predict Major League Baseball games (win/loss) with machine learning
Sports-Odds-Algorithms
System that calculates and uses algorithms to predict the outcome of NBA, NHL, and MLB sports games.
MLBDailyProjections
Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players
winProb
win probability model diagnostics
Loan-Default-Prediction
Capstone Project: Predicting default in P2P lending