Completed exercises for Coursera Recommender Systems MOOC
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Updated
May 12, 2014 - Java
Completed exercises for Coursera Recommender Systems MOOC
Recommendation engine on restaurant reviews
Pearson correlation coefficient calculator
recommend
Generally improved anime recommendation script.
Generic Recommendation Engine Skeleton
Collaborative recommendation system
Book recommendation engine using graph database
My solution to https://www.kaggle.com/c/santander-product-recommendation
Importer to convert data from the commercetools API to xml (product catalogs) and csv (purchases) files.
Simple recommendation engine using Pandas corrwith function
Music recommendation engine prioritizing explainability and diversity
A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
To improve the customer journey by presenting him with the best possible options based on certain inputs.
Recommendation system for Movie ratings dataset using Collaborative Filtering with different models
The Cloud Stove Backend
The Cloud Stove Frontend
This class uses alternating least squares to come up with movie recommendations for a new user. Future update: Hosting as a web service.
A recommender engine similar to those used by Netflix or Amazon.
🎥 Big data project for college (HHS) period 7
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