Making predictions is something a business or system depends on, which is indirectly dependant on data analytics. Data analytics is the science of analyzing raw data in order to make conclusions about that information.This analysis can then be used to optimize processes to increase the overall efficiency of a business or system. The dataset here, that we have obtained from Kaggle, is a sample of the transactions made in a retail store on Black Friday. The store wants to know better the customer purchase behaviour against different products.
We have used the data-set on Zomato Restaurants which was available to public, and shared by an useron: "https://www.kaggle.com" .This, data-set contains restaurant’s ID,City,Country,Cuisines offered,Average Cost for two,Currency,Aggregate rating(in float data-type), Rating text(Excellent,Very Good,Good, Average, Poor, Not Rated) and some other relevant data. We have tried to visualize somebar graphs and other plots, and find some general trends to make a conclusion. Then we have usedKNN-regression method to make predictions and finally we have made conclusions.