/Sports_Betting_Approach-

Primary LanguageJupyter Notebook

SportsBettingPrediction

Apply Machine learning algorithms like Churn Prediction, Customer Segmentation etc. to sports betting data available on public domain.

Steps

  1. Clone the repo.
  2. Install requirements with pip install -r requirements.txt
  3. Run Jupyter Notebook jupyter-notebook
  4. Open corresponding file e.g. churn_prediction.ipynb.

Tools and libraries used:

The project is writtern in Python3 with Scikit-learn and Pandas.

Dataset:

The project uses pubic data available on Transparency Project.`