Algorithms that perform Customer’s segmentation according to their financial sophistication, age, location etc. Thus, all the Customers are classified into groups by spotting coincidences in their attitude, preferences, behavior or personal information.

You are a cab rental start-up company. You have successfully run the pilot project and now want to launch your cab service across the country.You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.

The objective of this Case is to Predication of bike rental count on daily based on the environmental and seasonal settings. Here we need to predict count of bike rental.