SrujanaBandla/Model-Building-HyperParameter-Tuning-CreditCard-Users-Churn-Prediction-Project

he Thera bank recently saw a steep decline in the number of users of their credit card, credit cards are a good source of income for banks because of different kinds of fees charged by the banks like annual fees, balance transfer fees, and cash advance fees, late payment fees, foreign transaction fees, and others. Some fees are charged on every user irrespective of usage, while others are charged under specified circumstances. Customers’ leaving credit cards services would lead bank to loss, so the bank wants to analyze the data of customers’ and identify the customers who will leave their credit card services and reason for same – so that bank could improve upon those areas You as a Data scientist at Thera bank need to come up with a classification model that will help bank improve their services so that customers do not renounce their credit cards Objective Explore and visualize the dataset. Build a classification model to predict if the customer is going to churn or not Optimize the model using appropriate techniques Generate a set of insights and recommendations that will help the bank

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