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Assessing Customer Churn Using Machine Learning
Build models predicting customer churn for Indian telecom customers.
Start Project1 Tasks1,500 XP
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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
- 1Answer churn analysis questions.
Technologies
Python
Dr. Chester Ismay
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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.