JohnTan38 / Recommender-system

A recommendation algorithm capable of accurately predicting how a user will rate a movie they have not yet viewed based on their historical preferences. The models and EDA are based on the 1M MOVIELENS dataset

Alexa, what should I watch next?

Problem Statement

Construct a recommendation algorithm capable of accurately predicting how a user will rate a movie they have not yet viewed based on their historical preferences. The models and EDA are based on the 1M MOVIELENS dataset

Approach

• First glance at the raw data
• Preparing data for better visualization
• Exploratory data analysis
• Memory handling
• Building the models
  • Content based
  • Collaborative based
• Conclusion
• References

Project status

Link to project Trello board: https://trello.com/b/qnGPL8mN/unsupervised-sprint

Get in touch

If you would like to contribute to the repository please contact [e-mail]