Time series prediction for multiple columns
Hi Knimers,
I am new to Knime and have been struggling to do time series prediction for multiple columns. I have close to 100 different products and the percentage sales data for current week Day-1, Day-2 and Day-3. I wish to predict the % sales on Day-7 current week, however in my data set, I have also provided the actual % sales on Day-7 current week, this is just to see how close are the predictions to the actuals. Ideally we need not use the Day-7 actuals while performing the data analysis and predictions, just want to keep it for the last, to compare my predictions with the actuals.
The % sales current week is basically the % of the sales that was made on Day-7 of Last week. In the dataset the percentage has been expressed in decimal terms.
I specifically wanted to use Keras LSTM network as it works best with time series data. Could someone please provide some guidance. I have also attached my data file herein.