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

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Recommendation System with IBM Watson

Auto Complete / Suggestion feature using Trie data structure

An end-to-end restaurant recommendation system built with Flask and Python. This project showcases a fully functional web application, hosted on Heroku, that helps users discover the best dining options based on their preferences.

Experimental Design & Recommendations Project of Udacity Data Scientist Nanodegree

Built article recommendation engines for IBM Watson's platform users. Used collaborative filtering, content-based, ranking and knowledge-based techniques.

Rank-based, collaborative filtering and matrix factorisation techniques for Recommendation Engine for IBM Watson Studio platform

This project is a part of the Data Scientist Nanodegree by Udacity. It features an important collaboration with IBM, the provider of the dataset. The aim is to develop a recommendation engine and suggest new articles to the IBM Watson Community users.

Library Information System

This repo contains scripts used for game analysis and recommendation for the project GamerHood

A recommender engine based on Collaborative Filtering of the games available on the Steam Game Store

Movie Recommendation Site made from Flask, JS, CSS and HTML.

Here is the Repository contains three Data Science projects which is Disaster_Response_Pipeline, Recommendation_with_IBM, Write a Data_Science Blog Post.

Docker webapp on django - Parisian Culture - Datamuse

A recommendation system for IBM Watson Studio platform that analyzes user-article interactions and suggests relevant content using multiple recommendation techniques

Recommendations with IBM Data (knowledge-based plus collaborative filtering both model-based and neighborhood-based)

A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn

Content recommendation API

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