Data Analytics
Build a Content based Movie Recommender System to recommend Movies using Open source Data in Python
Build a simple content based recommendation system using Scikit-Learn, based on the open source movie data provided

Price
$45
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About this menternship
In this Menternship, you will be given access to Movie data and will be asked to build a simple content based recommendation system using Scikit-Learn.
After exploring the data set, you will be going through different types of recommender systems before executing the same for the same data set.

Portal Frame is a location intelligence software that helps rapidly growing retail and real estate business plan expansion across 50+ cities in India.
These location data streams help with customer targeting, identifying neighbourhood vibrancy, competitor location mapping & customised location data analysis.
Why take up this menternship?
On completing this menternship, you will learn about
  1. Exploring the dataset (Text Mining + Data Cleaning)
  2. Content Based and Popularity Based Recommender System
  3. Collaborative Filtering Based Recommender System
  4. Hybrid Recommender System

Expected Output
  1. Research Report on Filtering TechniquesPdf
  2. Python Notebook for Collaborative Filtering SystemLink
  3. Python Notebook for Content-based Filtering SystemLink
  4. Evaluation Report on Recommender Systems AppliedPdf
  5. Python Notebook for Hybrid Filtering SystemLink
Build a Content based Movie Recommender System to recommend Movies using Open source Data in Python
$45
This menternship offers
Success
Mentorship
People with experience in the industry of your choice ready to help you complete the challenges at hand.
Success
Certification
Every challenge comes with a certificate on completion from both Mentormind and the company hosting the challenge.
Success
Real life experience
Gain real-time work experience, online. Each challenge comes with resources to help bring the office to where you are.