Demand forecasting using historical data
- Aggregate to day level
- Identify Changepoints
- Fit trends for different changepoints
- Identify Holiday Performance Pattern (Yet to be implemented)
- Outlier Adjustment (Yet to be implemented)
- Decompose Seasonality for multiple levels
- Find Randomness
- Identify Randomness Pattern (Yet to be implemented)
- Combine the components to obtain fitted values
- pandas
- numpy
- sklearn
- fbprophet
Add the dataset path to System Environment
- Prophet package is developed by Facebook Research
- Git Link: https://github.com/facebook/prophet