Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
-
Updated
Dec 1, 2022 - HTML
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
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.
Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows
Recommendation System with IBM Watson
A Cloud Based Personalised Recommendation System for movies and books.
Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.
A lightweight demo app which recommends similar jobs. Combines unsupervised ML + IR.
Repository containing our solutions for CS663'course Assignments
Improving text classification with vectors of reduced precision
This project demonstrates the technique of embedding a watermark into a high-resolution image using Singular Value Decomposition (SVD).
It consists of base machine learning algorithms and applied mathematics has Involved
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.
[Rmd/HTML] Implementation of the Randomized Power Method to compute the SVD + Image compression with 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.
Add a description, image, and links to the svd topic page so that developers can more easily learn about it.
To associate your repository with the svd topic, visit your repo's landing page and select "manage topics."