jbenasuli

jbenasuli's Stars

• HarryShomer/OffsideReview

  OffsideReview *was* a website for modern National Hockey League statistics from the 2016-2017 season onwards for all Regular Season and Playoff games.

  Language:Python83

• HarryShomer/NHL-Prediction-Model

  Model for computing the probability of each team winning a given matchup in the National Hockey League

  Language:Python166

• HarryShomer/OffsideReview-Stats

  Code used to calculate and store the stats for OffsideReview on a daily basis

  Language:Python51

• mcbarlowe/dev_db_scripts

  The development code for database scripts and in game prediction model

  Language:Python1

• mcbarlowe/game_prediction

  Scripts for my NHL game prediction model

  Language:Python1

• mcbarlowe/daily_scrape

  Scripts to scrape the NHL api, calculate stats, and insert them into my database

  Language:Python61

• mcbarlowe/season_predictions

  Code to do season predictions based on my game prediction model

  Language:Python1

• dword4/hockey-info

  Language:JavaScript11

• jensenbenjamin/NBA_Betting_Model

  Using Gradient Boosting Regression to Predict NBA Score Totals

  Language:Jupyter Notebook217

• aspratle/Git_GitHub_Tutorial

  Slide Deck for Git and GitHub Tutorial hosted on Learning with Jelly Youtube Channel

  11

• Seb943/scrapeOP

  A python package for scraping oddsportal.com

  Language:Python22880

• oliveirabruno01/babyagi-asi

  BabyAGI: an Autonomous and Self-Improving agent, or BASI

  Language:Python78291

• gschwaeb/NHL_Game_Prediction

  Building an NHL game prediction model that will output probabilities of which team will win a game and can be used to implement a profitable betting strategy.

  Language:Jupyter Notebook193

• brendanartley/Analytics-Report-Generator

  Analytics report generator that creates a detailed analytics report for a specified player and season in the NHL

  Language:Python132

• Luke44C/Cap-Friendly-Scraper

  CapFriendly Scraping Program

  Language:Python26

• analyticsvidhya/A-Comprehensive-Guide-to-Ensemble-Learning-with-Python-codes-

  Language:Jupyter Notebook11

• analyticsvidhya/Stock-Prices-Prediction-Using-Machine-Learning-and-Deep-Learning-Techniques-with-Python-codes-

  Language:Jupyter Notebook14

• analyticsvidhya/wns-analytics-wizard-2018

  Winners solutions for [WNS Analytics Wizard 2018](https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018/)

  Language:Jupyter Notebook2544

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.2k8.7k

• miltonleung/Bookie

  Using Machine Learning to Bet on the NHL

  Language:Jupyter Notebook146

• RasmusRynell/sports_betting_test

  Language:Python2

• RasmusRynell/Predicting-NHL

  The project explores the idea of using different machine learning techniques to determine different stats in NHL games.

  Language:Python102

• Neil-Paine-1/NHL-Player-And-Team-Ratings

  Goals Above Replacement and Elo Rating data for NHL history.

  202

• gschwaeb/scraping_naturalstattrick

  Scraping Data Tables from Natural Stat Trick Using Beautiful Soup

  Language:Jupyter Notebook41

• ethanwchen/nba-prop-farmer

  A Discord bot that predicts NBA player performance in their next game using linear regression and Monte Carlo simulation. Users can request a projection for a specific player and statistic, and the bot will provide an interactive visualization with the predicted value and probability distribution.

  Language:Jupyter Notebook6

• suvoooo/Machine_Learning

  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.

  Language:Jupyter Notebook118203

• AutoViML/featurewiz

  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

  Language:Python58887

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.8k3.3k

• mathangpeddi/Glassdoor-Job-Salaries

  Glassdoor Job Salaries is a comprehensive data science project that predicts job salaries using data from Glassdoor. It aims to help job seekers and employers gain valuable insights into salary trends and make informed decisions.

  Language:HTML83

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11.1k2.1k