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TELCO CUSTOMER CHURN FEATURE ENGINEERING

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BUSINESS PROBLEM

It is desirable to develop a machine learning model that can predict the customers who will leave the company. The necessary data analysis and feature engineering steps were carried out before developing the model.

DATASET STORY

Telco customer loss data includes information about a fictitious telecom company that provided home phone and Internet services to 7,043 customers in California in the third quarter. It shows which customers have left their homes, stayed, lost to the customer.

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