Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Recommendation System with IBM Watson

Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows

Repository containing our solutions for CS663'course Assignments

Using Singular Value Decomposition to perform Lossy Compression of Images

Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.

Image compression using the SVD matrix decomposition

Articles recomendations for IBM Watson users

In this project we have tried to classify mails/messages as spam or ham

Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles.

A Cloud Based Personalised Recommendation System for movies and books.

[Rmd/HTML] Implementation of the Randomized Power Method to compute the SVD + Image compression with SVD

This project demonstrates the technique of embedding a watermark into a high-resolution image using Singular Value Decomposition (SVD).

A recommendation system for video games, which suggests gamers the best fit game for them based upon their choice and gaming-habit.

This projects shows some techniques for recommendation engines using data from the IBM Watson Studio Platform.

A capstone project about different kind of recommendations (e.g. rank-based, user-based, content-based)

This project focuses on building a Recommendation System using real interaction data from IBM's Watson Studio platform.

A SVD example application to text.

Classical implementation of Clustering and Classification Algorithms.