Recommender Systems Complete Course Beginner to Advanced
Master a recommender system that suggests items most pertinent to a specific user for data analysis
Created by AI Sciences
Discover how to build smart recommender systems that suggest the right items to the right users. Using Python, you'll work hands-on with real datasets to create content-based and collaborative filtering models. Learn practical techniques that power recommendations in apps like Spotify and movie platforms.
Packt | Feb 2023 | 494 min
What You Will Learn
You'll start by exploring core concepts and move quickly into practical coding exercises. Step-by-step projects guide you through building and refining recommendation models, using both classic and deep learning approaches. Each topic is reinforced with hands-on examples to help you apply what you learn right away.
Key Features
- Build recommender engines using machine and deep learning in Python
- Apply collaborative and content-based filtering to real-world datasets
- Evaluate and improve recommendation quality with proven techniques
Target Audience
Perfect for data analysts, machine learning enthusiasts, and developers with basic Python skills who want to create personalized recommendation systems. If you're looking to deepen your understanding of applied AI or build custom solutions for apps and services, you'll find actionable knowledge and practical tools here.
