Build Recommendation Systems with PySpark
Build Recommendation Systems with PySpark
Build Recommendation Systems with PySpark
Instructor: Bismark Adomako


Learn to build scalable recommendation systems with PySpark. This course will teach you to predict user purchases using collaborative filtering, content-based methods, and real-time streaming, helping you deliver personalized shopping experiences.

What you’ll learn

Online retailers and e-commerce platforms rely on recommendation systems to enhance customer experiences and drive sales. In this course, Build Recommendation Systems with PySpark, you’ll gain the ability to build scalable, data-driven recommendation models to predict user purchases.

When you’re finished with this course, you’ll have the skills and knowledge of recommendation systems with PySpark needed to deliver personalized shopping experiences at scale.

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