Basic of Recommendation Models
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
This is an end to end book recommendation system.
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
Programming assignments completed in the PG Program for AI ML
Project No.3 in the Udacity Data Scientist Nanodegree Program. Will build a recommendation engine, based on user behavior and social network in IBM Watson Studio’s data platform, to surface content most likely to be relevant to a user.
Make articles recommendations for IBM Watson Studio's data platform.
A repository to practice with recommendation engines.
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