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TTAML0002 Building Recommendation Systems With Python Training





Course Description

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.

  • Understand the different kinds of recommender systems
  • Master data-wrangling techniques using the pandas library
  • Building an IMDB Top 250 Clone
  • Build a content-based engine to recommend movies based on real movie metadata
  • Employ data-mining techniques used in building recommenders
  • Build industry-standard collaborative filters using powerful algorithms
  • Building Hybrid Recommenders that incorporate content based and collaborative filtering
  • 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.
Who Should Attend?

Developers, Analysts, and other professionals interested in learning the tools and techniques needed to build recommendation systems.

  • Basic to Intermediate IT skills
  • Basic Python syntax skills are recommended (attendees without a programming background like Python may view labs as follow along exercises or team with others to complete them)
  • Good foundational mathematics or logic skills
  • Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and us
  • Recommended

  • Python For Data Science Primer
Course Details
  • Start Date: Jun 09, 2021
  • Duration: 3 Days
  • Skill Level: Intermediate
  • More Schedules: Click
  • Certification: NO
  • Enrolled: 1422
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