My solution ranked 8th out of 2216 on the Recruit Restaurant Visitor Forecasting Kaggle competition. The solution focuses on targeted feature engineering and LightGBM cross-validation.

1. Have Python 3 installed
2. Download the Kaggle data from here
3. Download the weather data from here
4. Run pip install -r requirements.txt (using a virtual environment is good practice)
5. Install LightGBM
6. Run jupyter notebook
7. Open the Solution.ipynb notebook