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Performed predictive analysis of customer churn in the banking industry and identify the factors that led customers to churn. Customer churn or customer attrition is the phenomenon where customers of a business no longer purchase or interact with the business.
This an analysis of online retail (E commerce) company that wants to know the customers who are going to churn, so accordingly they can approach customer to offer some promos.
Customer retention is a critical stage for customer relationship management (CRM), especially for established businesses after their initial exponential growth. Churn management or attrition management is important as when customers leave, there arenegative impacts on revenues. Churn analytics has been widely applied to proactive customer retent…
This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.
Challenge 2 of the FGA Data Science program where we have to predict whether a customer will stop using an ISP's service or not using machine learning model
This project aims to aims to predict the customer churn (likelihood of a customer leaving the company) for a telecom company using a variety of ML classification algorithms.