Time Series Forecasting, Machine Learning, Data Science, Python, Analytics.
included 61 columns and 2,698,574 rows, The key of the dataset is date, store id and family (of the product). The test has 61 columns and ~30K rows representing the data between the the 16/08/2017–31/08/2017 for each store and each family. Let’s start - finding the best model! all steps required