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Customer Segmentation using Machine Learning in Apache Spark

This video shows you how to perform customer segmentation using machine learning with Apache Spark. You'll learn to use Spark's MLlib library to build a pipeline that groups customers into meaningful segments based on attributes like age, income, and spending score. The video covers the entire process, from data loading and exploration to building a K-means clustering model and visualizing the results. This is a practical guide to using data science to drive real business results like personalized marketing and improved customer engagement.

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