Movie Recommendation Engine

Data Scientist Data Analyst Projects

Learn to analyze a Movie Database to find some useful insights to Increase the Consumption of Movies and User Engagement Rate in the Platform, and Recommend Movies based on the Interests of the Users.

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What will you learn?

  • Learn to create Specific Reports for Actors.
  • Learn to use Transactional Encoders for Finding Similarities between the Movies.
  • Build a Movie Recommender Engine using Correlation.
  • Answer specific questions which can help to Improve User Engagement.

Who is this Course for?

  • For Students who wants to Explore the Field of Data Analytics and Visualizations.
  • For Freshers looking forward to Build their Project Portfolio.
  • Working Professionals looking forward to Work on Recommender Engines.

Course Requirements

  • You Must have a Laptop with Internet Connectivity.
  • You Must have Installed Python and Jupyter Notebook on your System.
  • You Must have Imported all the Required Libraries for this Project.
  • You Must have some Interests in the Entertainment Domain.

1

Sections

17

Lessons

6

Hours

Course Curriculum

Section 1
Movie Recommendation Engine
In this Project you will learn to Build a Simple Content Based Recommender Engine for Increasing User Engagement.

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