- df-prod.ipynb: Segment product groups based on how much value each one brings back, and the rate being purchased
- ts_forecast.ipynb:
- Process:
- Preprocess: weekly grouping, add and fill in 0-value week
- Choose product group to forecast, 'CX' in notebook
- Hypertuning parameters of Holt-Winter Exponential Smoothing model
- Concatenate two results from train and test to look at error distribution
- Current performance:
- RMSE Train: 42.4987
- RMSE Test: 31.9306