Skip to main content
HomePython

project

Assessing Customer Churn Using Machine Learning

Intermediate
Updated 04/2024
Build models predicting customer churn for Indian telecom customers.
Start Project for Free

Included withPremium or Teams

1 Task1,500 XP1,267

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Project Description

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.

Project Tasks

  1. 1
    Answer churn analysis questions.

Technologies

Python Python

Topics

Data ManipulationMachine Learning
Dr. Chester Ismay HeadshotDr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

Chester enjoys helping others get into data science, figuring out how to best practice and improve on their skills, and working as a part-time consultant on R and Python programming projects. He is co-author of "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at moderndive.com and for purchase from CRC Press. He likes leading education and data science teams with the goal of improving best practices based on data from the learning sciences.
See More

FAQs

What do other learners have to say?