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Harsh Jain's Projects

cab-fare-prediction icon cab-fare-prediction

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.

santander-customer-transaction-prediction icon santander-customer-transaction-prediction

At Santander, mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might help them achieve their monetary goals. Our data science team is continually challenging our machine learning algorithms, working with the global data science community to make sure we can more accurately identify new ways to solve our most common challenge, binary classification problems such as: is a customer satisfied? Will a customer buy this product? Can a customer pay this loan? In this challenge, we need to identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted.

supervised-learning-bank_personal_loan_modelling icon supervised-learning-bank_personal_loan_modelling

OBJECTIVE : The classification goal is to predict the likelihood of a liability customer buying personal loans Domain: Banking Context : This case is about a bank (Thera Bank) whose management wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors). A campaign that the bank ran last year for liability customers showed a healthy conversion rate of over 9% success. This has encouraged the retail marketing department to devise campaigns with better target marketing to increase the success ratio with minimal budget

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