Demand estimation - Order Quantities
This experiment demonstrates the feature engineering process for building a regression model using sales demand prediction as an example.
Data
The sales data set is used as the raw input data for this experiment.
The data set contains 270,817 rows and 7 columns, each row representing the date,order quantity and price per sales order.
