Models: preprocess.py: preprocessing the datasets knn.py: k nearest neighbour boosting.py: gradient boosting svr.py: support vector regression
khushbooagarwal1/Sales-in-stormy-weather
Prediction of the sales of 111 potentially weather-sensitive products (like umbrellas, bread, and milk) around the time of major weather events at 45 of their retail locations
Python