Data Analysis in Retail sector(cleaning / ML)

BigMart is a Retail Chain in the USA.The objective was to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales. The data were normalized, trained, and tested using KNIME. It is easy to learn because users of KNIME do not need to have any background in programming and this problem is helpful in the Retail Industry.

The mean absolute error obtained in the end after testing the data was 0.73% which is very less.