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Learner Reviews & Feedback for Machine Learning for Telecom Customers Churn Prediction by Coursera Project Network

4.7
stars
32 ratings

About the Course

In this hands-on project, we will train several classification algorithms such as Logistic Regression, Support Vector Machine, K-Nearest Neighbors, and Random Forest Classifier to predict the churn rate of Telecommunication Customers. Machine learning help companies analyze customer churn rate based on several factors such as services subscribed by customers, tenure rate, and payment method. Predicting churn rate is crucial for these companies because the cost of retaining an existing customer is far less than acquiring a new one. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 4 of 4 Reviews for Machine Learning for Telecom Customers Churn Prediction

By Vinoth S U

•

Jul 13, 2021

Great path to learn ML Algorithm

By Marco T

•

Apr 12, 2021

Course was good and clear

By Juan E Z

•

Jun 23, 2023

Super useful!

By Darshan K

•

Jul 13, 2023

good