omkarudawant / Telecom-churn-prediction

Predict behavior of customers to retain them in a telecom company.

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Telecom Churn Prediction

Churn is a one of the biggest problems in the telecom industry. Research has shown that the average monthly churn rate among the top 4 wireless carriers in the US is just mere 1.9% - 2%.

Context

"Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs."

[IBM Sample Data Sets]

Content

Each row represents a customer, each column contains customer’s attributes described on the column Metadata.

The data set includes information about:

Customers who left within the last month – the column is called Churn Services that each customer has signed up for – phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies Customer account information – how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges Demographic info about customers – gender, age range, and if they have partners and dependents

About the dataset,

Reference: Telco Customer Churn

About

Predict behavior of customers to retain them in a telecom company.


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Language:Jupyter Notebook 100.0%