Building Recommendation Engines with PySpark

Starting at USD 39.00
4 hours duration

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

This course provides comprehensive guidance on constructing recommendation engines using the Alternating Least Squares (ALS) algorithm in PySpark. By utilizing the widely recognized MovieLens dataset and the Million Songs dataset, participants will be systematically led through the conceptual understanding of the ALS algorithm, along with the practical implementation of training, testing, and deploying ALS models on diverse customer datasets.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
You need to login in order to be able to rate the course.
Register Login


This course has not been reviewed by the community yet.