Demand estimation - Order Quantities

By for August 5, 2016
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.