There are no items in your cart
Add More
Add More
Item Details | Price |
---|
Learn Apache Spark machine learning by creating a Telecom customer churn prediction project using Databricks Notebook
Language: English
Instructors: Bigdata Engineer
Why this course?
Are you ready to master Apache Spark by working on a real-world Machine Learning project? This course will take you step by step through building a Telecom Customer Churn Prediction model using Apache Spark ML.
Customer churn is one of the biggest challenges in the telecom industry. Companies invest heavily to retain their customers, and predictive analytics plays a crucial role in identifying which customers are likely to leave. In this hands-on course, you’ll learn how to use Big Data and Spark ML to solve this real-world problem with an end-to-end project.
You will begin with the basics of Spark and Machine Learning, setting up your Spark cluster in Databricks (no local installation needed), and learning how to work with DataFrames and notebooks. Then, we’ll dive deep into the churn dataset, perform data exploration, and build a machine learning pipeline for churn prediction.
By the end of this course, you will have the skills, confidence, and project experience to apply Spark ML techniques to real-world business problems—not only in telecom but across other industries like finance, e-commerce, and healthcare.
This course is designed to be practical and project-focused, ensuring that you learn by doing, with clear explanations and real examples every step of the way.
What makes this course unique?
Key Skills You Will Gain
What will students learn in your course?
After successful purchase, this item would be added to your courses.You can access your courses in the following ways :