Building Recommendation Engines with PySpark

Engineering and Technology

Short Description

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

Long Description

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.

Related Courses

Building Recommendation Engines with PySpark

by DataCamp

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

Building Recommendation Engines in Python

by DataCamp

Learn to build recommendation engines in Python using machine learning techniques.

Building and Optimizing Triggers in SQL Server

by DataCamp

Learn how to design and implement triggers in SQL Server using real-world examples.

Building Chatbots in Python

by DataCamp

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machi...

Building Dashboards with Dash and Plotly

by DataCamp

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Building Dashboards with flexdashboard

by DataCamp

In this course you'll learn how to create static and interactive dashboards using flexdashboard and...

Building Dashboards with shinydashboard

by DataCamp

In this course you'll learn to build dashboards using the shinydashboard package.

Building Data Engineering Pipelines in Python

by DataCamp

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

Building Response Models in R

by DataCamp

Learn to build simple models of market response to increase the effectiveness of your marketing plan...

Building Web Applications with Shiny in R

by DataCamp

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your...

Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

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.

Learn more