Machine Learning
Content-Based Recommendation Systems using JS
In this course, learners will dive into content-based recommendation systems, focusing on factorization machines. These approaches utilize item features and user profiles to make recommendations. The course provides hands-on coding examples to demonstrate how to develop content-based models that harness rich data for personalized recommendations.
JavaScript
NodeJS
5 lessons
22 practices
4 hours
Badge for Machine Learning Model Development,
Course details
Content Based Recommendations
Merging Arrays of Objects by Author ID
Enhancing Data Processing with Playtime Feature
Creating a Unified DataFrame for Music Recommendations
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