prakruti-joshi / Movie-Recommendation-System
Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
☆28Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Movie-Recommendation-System
- Basic Movie Recommendation Web Application using user-item collaborative filtering.☆214Updated 2 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆174Updated 4 months ago
- This repository contains the code for building movie recommendation engine.☆79Updated 6 years ago
- Movie Recommender System with Django.☆71Updated 4 months ago
- Movie Recommendation System using the MovieLens dataset☆19Updated 6 years ago
- Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Rec…☆117Updated last year
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆35Updated 5 years ago
- A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.☆27Updated last year
- Recommendation System using ML and DL☆455Updated last year
- We used deep learning models on SparkML to create a hybrid recommender system that leverages both content and collaborative data.☆13Updated 4 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆56Updated 4 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆60Updated 4 years ago
- A repository for a machine learning project about developing a hybrid movie recommender system.☆40Updated 3 years ago
- Hybrid Recommender System☆22Updated 2 years ago
- 4 different recommendation engines for the MovieLens dataset.☆421Updated 5 years ago
- Content based movie recommendation system with sentiment analysis☆90Updated last year
- Machine Learning Project☆53Updated 3 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆28Updated 3 years ago
- Implement a content-based and collaborative filtering recommendation systems for song recommendations.☆166Updated 4 years ago
- Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakban…☆17Updated 6 years ago
- Implemented Using Machine Learning (K-Means Clustering Also) in Python☆14Updated 4 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆29Updated 4 years ago
- Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build s…☆115Updated 11 months ago
- GHRS: Graph-based hybrid recommendation system with application to movie recommendation☆34Updated last week
- This is a course recommendation system that generates recommendation based on the study patterns and cognitive level of the students. The…☆30Updated 4 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆42Updated 6 years ago
- Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.☆10Updated 3 years ago
- Movie recommendation system based on hybrid recommender and clustering☆12Updated last year
- The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation…☆103Updated last year