Udemy – AI Mastery: Recommendation Engines Unleashed 2024-3

AI Mastery: Recommendation Engines Unleashed. This advanced course provides you with the knowledge and skills to understand and build recommendation engines through hands-on projects. Suitable for data enthusiasts, data scientists, and industry professionals, this course is designed with a focus on collaborative filtering and advanced book and movie recommendation systems. The first part teaches the basics of recommender engines, setting up an Anaconda environment, and implementing evaluation models. The second part explores building a book recommendation system, covering concepts such as data management, content-based recommendation functions, and feature extraction. The third part develops a more advanced book system using hybrid models. The final part covers transferring this knowledge to the film domain, including building simple and content-based recommenders. With real-world projects, up-to-date industry techniques, and comprehensive coverage of concepts, this course prepares you to design effective recommender systems across a variety of domains.

What you will learn:

• Basics of Recommendation Engines, including collaborative filtering.
• Setting up the environment with Anaconda, downloading datasets, and using the Surprise library.
• Implement cross-validation models to train and test predictions.
• Developing functions to perform movie predictions and create a basic Book Recommender.
• Explore advanced topics such as content-based recommendation and feature extraction.
• Building an Advanced Book Recommender with hybrid models and user-specific recommendations.
• Development of a Movie Recommendation Engine, including simple, content-based recommenders.
• Throughout the course, students will gain practical experience through hands-on projects and enhance their skills in building effective recommender systems.

Who is this course suitable for?

• People who are interested in mastering the basics of Recommendation Engines and collaborative filtering.
• Data science enthusiasts looking to gain hands-on experience building functional recommender systems.
• Professionals who want to improve their skills in data analysis and implementation of recommender algorithms.
• Students and researchers seeking a comprehensive understanding of advanced recommendation techniques and content-based models.
• Anyone looking to use recommender engine concepts in real-world projects, such as book and movie recommenders.

AI Mastery: Recommendation Engines Unleashed Course Details

• Publisher:  Udemy
• Instructor:  EDUCBA Bridging the Gap
• Training level: Beginner to advanced
• Training duration: 4 hours and 59 minutes
• Number of lessons: 40

Course topics

Prerequisites for the AI ​​Mastery: Recommendation Engines Unleashed course

• Python Basics
• Anaconda and Python installed in pc

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 562 MB

File(s) password: www.downloadly.ir

File size

1.5 GB