Setup Environment

1. Create python virtual environment

   python -m venv env_shap

2. Activate your virtual environment

   env_shap\Scripts\activate -- Windows

   source env_shap/bin/activate -- Ubuntu

3. Install all the packages in your virtual environment

   pip install -r requirements.txt

4. Create kernel

   python -m ipykernel install --user --name shap --display-name shap-kernel

5. Launch Jupyter notebook

   jupyter lab

6. Connect jupyter to kernel shap-kernel

Videos

You can find out more details in the below youtube videos

1. Partial dependency plot: How feature impact model prediction? https://youtu.be/BgUMI8_oSRI

2. SHAP Dependency Plot : How feature interaction impact model prediction? https://youtu.be/eDoKwho03vk

3. How does SHAP model interpretation work? https://youtu.be/mp4xYRUq9-U

4. How SHAP global feature importance is different from XGBOOST Feature importance? https://youtu.be/kFEOQlepXPo

5. Why does the model think that a given customer will churn? What explanation SHAP can provide to the end-user? https://youtu.be/UAFEVtIw4h4