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Back to Machine Learning with PySpark: Customer Churn Analysis

Learner Reviews & Feedback for Machine Learning with PySpark: Customer Churn Analysis by Coursera Project Network

4.8
stars
15 ratings

About the Course

This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you
how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This guided-project
covers a range of essential tasks, including data loading, exploratory data analysis, data preprocessing, feature preparation, model training,
evaluation, and deployment, all using Pyspark. We are going to use our machine learning model to identify the factors that contribute to
customer churn, providing actionable insights to the company to reduce churn and increase customer retention. Throughout ...
...

Top reviews

AB

Feb 5, 2025

Excellent course covering basic ML methods and using intermediate techniques to solve ML related problems with PySpark

JS

Jun 28, 2023

Explanation is very clear and easy to understand. Well structure.Many thanks.

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1 - 6 of 6 Reviews for Machine Learning with PySpark: Customer Churn Analysis

By Adib B

•

Feb 5, 2025

Excellent course covering basic ML methods and using intermediate techniques to solve ML related problems with PySpark

By Judy S

•

Jun 29, 2023

Explanation is very clear and easy to understand. Well structure.Many thanks.

By Satyajeet

•

Jan 26, 2025

Good overview to understand basic codes for pyspark queries.

By Aman P

•

Dec 2, 2024

Helpful in clearing concepts

By Mohamed a T

•

Jan 14, 2025

thanks

By Nitin B

•

Mar 15, 2024

very simple and easy to understand approach