The goal of the project is to leverage machine learning to make money from sports betting. I started by collecting Premier League soccer game data from https://www.football-data.co.uk/englandm.php. After cleaning and wrangling the data, several machine learning models trained with Scikit-learn and evaluated based on profitability. The most profitable model was deployed to a web app along with a light data exploration

Scrapped restuarant reviews along with their ratings were scrapped of Trip Advisor. Built a model using Tensorflow and tuned its hyperparameters with WandB (Weights and Biases) Built a client facing Streamlit web app deployed through heroku that makes API calls to Flask server hosted on Google Cloud Run Link to GitHub Repository Link to Web App

This web app is comprised of three different dashboards: Stock Financials and Fundementals Wall street bets and twitter sentiment analaysis Twitter Sentiment Analaysis Link to GitHub Repository Link to Web App