reccomendersystem

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

A news application in Android that offers the recommended, summarized news articles in as short and crisp format from multiple news sources per user’s choice. Key Features: Recommendation System Engine (gives recommended news articles), NLP Summarization (gives a 5 sentence summarized for each articles), Popularity-based Trending System (to stay…

Clustered Compositional Embeddings

Projects for Udacity Data Scientist Nanodegree

A recommendation system for products using PySpark

The Gurugram Real Estate Analytics Project is a comprehensive data-driven solution that enhances property decision-making through three key modules: Prediction, Analytics & Visualization, and Recommendation. This project empowers users with valuable insights, enabling smarter and more strategic real estate investments.

Code for the project: "Analysis of Recommendation-systems based on User Preferences".

This is an implementation where content based and collaborative filtering recommendation methods are used for recommending courses.

This repository has the solutions to multiple assignments done during the course on topics like supervised leering, deep learning

Scrumptious Suggestions is a data powered website that suggests it's users the best recipes based on their input ingredients.

In this work, a small search engine for animal adoption was implemented. The focus is on web page scraping, that set of methodologies used to automate the collection of information from Internet sites.

An app to search duos on your games!

Reccomender Sysstems with Sckit Surpirse

A platform to connect music lovers across the globe!!

This is a content-based movie recommender system that utilizes machine learning and cosine similarity to suggest movies to users based on their preferences. The system uses the tmdb dataset and provides a user-friendly interface through Streamlit for an enhanced user experience.

The Book Recommender System is a collaborative filtering-based approach that suggests personalized book recommendations based on user preferences and similarities. The system provides a user-friendly interface through Streamlit for an enhanced user experience.

Innovative ingredient-centric recommendation engine leveraging cosine-similarity to deliver personalized recipe suggestions at scale.

Fifa19 Web app

Implement the Next Item Recommendation with Self-Attention (AttRec) model to the Recommenders 1.2.0 like format