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…

Projects for Udacity Data Scientist Nanodegree

A recommendation system for products using PySpark

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.

Clustered Compositional Embeddings

Reccomender Sysstems with Sckit Surpirse

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.

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

Machine learning concepts implemented in python.

A platform to connect music lovers across the globe!!

A Non Negative Matrix Factorization Recommendation System that suggests content for a social network application

基于RecSysPapers的前端搜索

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.

Creating a Recommendation System for Movielens100k.

A reccomeneder engine using Microsoft MIND project

Content-Based Recommender - Adam Hącia 2022

The provided code snippet performs movie recommendation based on movie metadata using the TMDB Movie Metadata dataset from Kaggle.