Build a Movie Recommendation System Using Machine Learning
Offered By: Great Learning via YouTube
Course Description
Overview
Learn how to build a movie recommendation system using machine learning techniques in this 32-minute tutorial. Explore the process of creating a personalized movie suggestion engine that leverages data science and artificial intelligence concepts. Gain hands-on experience with implementing collaborative filtering algorithms and content-based recommendation methods. Discover how to preprocess movie data, engineer relevant features, and train machine learning models to generate accurate movie recommendations. Apply your newfound skills to develop a practical recommendation system that enhances user experience and engagement on streaming platforms or movie websites.
Syllabus
Build a Movie Recommendation System Using Machine Learning | Great Learning
Taught by
Great Learning
Related Courses
Mining Massive DatasetsStanford University via edX Nearest Neighbor Collaborative Filtering
University of Minnesota via Coursera Practical Deep Learning For Coders
fast.ai via Independent Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法
Tsinghua University via edX ความรู้พื้นฐานเกี่ยวกับบิ๊กดาตา | Big Data Concept
Sukhothai Thammathirat Open University via ThaiMOOC