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.


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.







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.

Every Course Comes with…


Every Projects comes with 2-3 hours of video lessons giving you step-by-step solution with explanation of the entire project


You will get the entire project workbooks, datasets, and other resources with it


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