Building Recommendation Engine with Machine Learning & RAG
Learn how to build product, movie, music recommendation engines using Tensorflow, Keras, Surprise, SVD, and RAG
1
students
3.5 hours
content
Mar 2025
last update
$54.99
regular price
What you will learn
Learn the basic fundamentals of recommendation engine, such as getting to know its use cases, technical limitations, RAG implementation in recommendation system
Learn how to build product recommendation engine using Tensorflow and Keras
Learn how to build movie recommendation engine using Surprise
Learn how to build music recommendation engine using retrieval augmented generation
Learn how to build product recommendation engine using TFIDF Vectorizer and Cosine Similarity
Learn how to build search based recommendation engine using RAG
Learn how recommendation engines work. This section cover, data collection, preprocessing, feature selection, model training, model evaluation, and deployment
Learn how to perform feature selection for product recommendation engine
Learn how to perform feature selection for movie recommendation engine
Learn how to build and train collaborative filtering model
Learn how to load RAG model and create Facebook AI Similarity Search index
Learn how to build user interface for recommendation engine using Gradio and Streamlit
Learn how to test and deploy recommendation engine on Hugging Face
Learn how to download dataset using Kaggle Hub API
Screenshots
6525527
udemy ID
3/18/2025
course created date
3/29/2025
course indexed date
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