dmbrown81

dmbrown81's Stars

• khirata215/NFL_Data

  Functions used to pull in scores, stats and schedule for NFL games using available APIs..

  Language:Python1

• elmoallistair/google-data-analytics

  google data analytics professional certificate

  Language:Jupyter Notebook692316

• Xosrov/ChatGPT-prompts

  Some useful ChatGPT prompts I use

  171

• fultoncjb/mlb-scraper

  Python package for scraping MLB Stats

  Language:Python92

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44k

• PieroPaialungaAI/AI_CV_improver

  Improve your CV using Artificial Intelligence

  Language:Python12745

• sportsdataverse/sportsdataverse-baseball-data

  Houses baseball data from various sources from the internet

  Language:Python7

• Cargo1284/FantasyBaseballTrends

  This library allows a user to see a players trends of a user specified period of time. Primarily, it allows a fantasy user to see their lineups trends over a certain period and trends between a hitter against a certain pitcher.

  Language:Python41

• JackD27/StatGrabber

  Grabs data from PrizePicks and UnderDogFantasy to help with implementing other data to win.

  Language:Python1

• anthonyp16/Prizepicks-Comparison-Tool

  Language:Jupyter Notebook2

• VinceDiR/Prop_Betting_Regression_Project

  Using regression models to inform NBA prop betting strategy.

  Language:Jupyter Notebook113

• bendominguez0111/nba-models

  NBA Three-Point Model for Sports Betting

  Language:Jupyter Notebook151

• hanesy/NBA_Playoffs

  Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.

  Language:Jupyter Notebook82

• PJalgotrader/platforms-and-tools

  GitHub repository for some ML and DL platforms: Python Crash Course, Google Colab, VScode, PyCaret, Tensorflow, Pytorch, Huggingface

  Language:Jupyter Notebook2013

• ian-whitestone/nba-dfs

  NBA Daily Fantasy Sports EDA and Player Modelling with R

  Language:HTML187

• nflverse/nfl_data_py

  Python code for working with NFL play by play data.

  Language:Python25850

• mwfd541/nba

  Python tools that can be used for projections and roster optimization for the NBA

  Language:Python94

• BenKite/baseball_data

  Scraping data from baseball-reference.com.

  Language:Python1812

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.6k214

• aiguofer/gspread-pandas

  A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.

  Language:Python38853

• nflverse/nfldata

  NFL Data (by Lee Sharpe)

  Language:R25772

• cod3licious/autofeat

  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

  Language:Python49560

• AutoViML/Auto_ViML

  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python518101

• StatMixedML/XGBoostLSS

  An extension of XGBoost to probabilistic modelling

  Language:Python54758

• scikit-learn-contrib/boruta_py

  Python implementations of the Boruta all-relevant feature selection method.

  Language:Python1.5k255

• kyleskom/NBA-Machine-Learning-Sports-Betting

  NBA sports betting using machine learning

  Language:Python1.2k430

• cerlymarco/shap-hypetune

  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

  Language:Jupyter Notebook55871

• JakeKandell/NBA-Predict

  Predicts Daily NBA Games Using a Logistic Regression Model

  Language:Python12448

• davidteather/TikTok-Api

  The Unofficial TikTok API Wrapper In Python

  Language:Python4.7k956

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python1.9k308