As part of the udacity.com Data Scientist nanodegree, this is a blog to document my experience with the program. This project was created using a GitHub template created by user chabaldwin. The blog discusses the 4 different projects starting with a dataset I selected from Kaggle that shows Real Estate Data for NYC Property Sales across the 5 bo…
Movie Recommendation Site made from Flask, JS, CSS and HTML.
A recommendation system for IBM Watson Studio platform that analyzes user-article interactions and suggests relevant content using multiple recommendation techniques
A Django-powered book recommendation engine with Bootstrap 5 frontend. Features personalized suggestions, user profiles, and rating system. Clean, responsive UI with landing page, authentication flows, and accessible design. Lightweight implementation using plain CSS (no SCSS) for easy customization.
A modern, responsive web application that delivers personalized content recommendations based on user preferences and behavior. This interactive recommendation system allows users to discover content tailored to their interests through category selection, tag filtering, and customizable content parameters.
The Book Recommendation System is designed to assist users in discovering books that align with their personal interests and reading habits. This system aims to address the challenge of information overload. The combination of a robust recommendation engine and an intuitive user interface ensures that users have a seamless experience.
Docker webapp on django - Parisian Culture - Datamuse
This repository analyze user interactions with articles on the IBM Watson Studio platform and develop recommendation systems to suggest new articles that align with their interests.
Official Website of https://github.com/tamlhp/awesome-recsys-poisoning
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.
Auto Complete / Suggestion feature using Trie data structure
Recommendations with IBM Data (knowledge-based plus collaborative filtering both model-based and neighborhood-based)
In the IBM Watson Studio, there is a large collaborative community ecosystem of articles, datasets, notebooks, and other A.I. and ML. assets. Users of the system interact with all of this. This is a recommendation system project to enhance the user experience and connect them with assets. This personalizes the experience for each user.
A demo chatbot for recommendations on healthy living (diet and physical activity)
Library Information System
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
This repo contains scripts used for game analysis and recommendation for the project GamerHood
Basic Movie Recommendation Web Application using user-item collaborative filtering.
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