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Assessing Customer Churn Using Machine Learning

IntermediateSkill Level
4.7+
154 reviews
Updated 03/2025
Build models predicting customer churn for Indian telecom customers.
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PythonData ManipulationMachine Learning1 hr1 Task1,500 XP3,087

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Project Description

Assessing Customer Churn Using Machine Learning

Dive into India's telecom sector to analyze customer churn. Utilize pandas and machine learning to study datasets from top telecom firms, revealing demographic and usage patterns. Predict customer retention, merging data analysis and predictive modeling to sharpen your data science expertise.

Assessing Customer Churn Using Machine Learning

Build models predicting customer churn for Indian telecom customers.
Start Project
  • 1

    Answer churn analysis questions.

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*4.7
from 154 reviews
79%
19%
0%
0%
2%
  • Mariel
    4 days ago

  • Dario
    last week

  • Ahmad
    last week

  • Maier
    2 weeks ago

  • Ali
    2 weeks ago

  • Hudhaifa
    2 weeks ago

Mariel

Ahmad

Maier

FAQs

Is this project suitable for beginners?

Absolutely! Our project includes only basic programming knowledge required to complete the project tasks.

What is the programming language of this project?

The project is built using Python programming language.

Can I add this project to my Data Portfolio?

Yes, you can easily add this project to your Data Portfolio after completion.

Do I need to download any software to complete this project?

No, you do not need to download any additional software as the full project can be completed using DataCamp Workspace.

What is the project all about?

The project aims to build models to predict customer churn for Indian telecom customers.

What are the project tasks?

The project tasks include answering churn analysis questions.

Can I complete this project if I have no prior experience with Python?

Yes, our project includes only basic programming knowledge required to complete the project tasks.

Can I access the project materials after completing it?

Yes, you will have access to the project materials even after completing the project.

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