In almost every internet business today, professionals will find recommendation systems. Recommendation Systems with Python provides good recommendations regarding groceries, friends, and movies, enticing customers to use their platform and to define the user experience. This course will make professionals learn about various recommenders used in the industry and from scratch using Python to build them. Here, professionals will build a content-based engine, an IMDB Top 250 clone, which works on movie metadata. Professionals will also learn collaborative filtering techniques in this course, helping them grow their careers. By learning this program, professionals will also learn the extensive functionality of the Python module.
Developers, Analysts, and other professionals interested in learning the tools and techniques needed to build recommendation systems.
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work. This is not a basic class.
For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.
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Flexible delivery methods are available here.
Resources are included for a comprehensive learning experience.