Topic: movielens-dataset Goto Github
Some thing interesting about movielens-dataset
Some thing interesting about movielens-dataset
movielens-dataset,A Neo4j recommender system using the MovieLens dataset
User: aleceress
movielens-dataset,Movie Recommendation System using the MovieLens dataset
User: alexvlis
movielens-dataset,Basic Recommender System that provides Content Based Filtering or Product based Recommendations over MovieLens Movies data-set to be used with native and AWS EMR Hadoop
User: ammar-hasan
movielens-dataset,This is a web application for movie recommendation based on Flask, HTML and Python
User: armando8766
Home Page: http://armandehpanah.pythonanywhere.com
movielens-dataset,Personalized real-time movie recommendation system
User: batsqd
movielens-dataset,Recommender System (Java, Apache Spark)
User: chanddu
movielens-dataset,Neural Collaborative Filtering with MovieLens in pytorch
User: changhyeonnam
movielens-dataset,Training Deep AutoEncoders for Collaborative Filtering
User: chinmayrane16
movielens-dataset,Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
User: chinmayrane16
movielens-dataset,Implementing Model-Based CF using SVD & Memory-Based CF by computing cosine similarity on MovieLens dataset
User: chiraag-kakar
movielens-dataset,Basic recommendation system for Movilens dataset using Keras
User: cvxtz
movielens-dataset,A recommendation algorithm using the MovieLens dataset.
User: erikphillips
movielens-dataset,Implementation of Microsoft's Matchbox Recommender trained on MovieLens dataset used in simple React web application to provide movie recommendations.
User: faltysad
movielens-dataset,推荐系统课程作业(基于movieLens数据文件)
User: freator
movielens-dataset,This is an intro to recommender systems using the popular Movielens dataset and Spark.ML
User: gdmacmillan
movielens-dataset,An on-line movie recommender using Spark, Clojure Luminus, and the MovieLens dataset
User: humorless
movielens-dataset,An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
User: jadianes
movielens-dataset,Comparison of Recommender System Algorithms on MovieLens Dataset. Experimentation with Hybrid approach combining the algorithms. Implementation of interest sequence based collaborative filtering.
User: keya-desai
movielens-dataset,PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
User: khanhnamle1994
movielens-dataset,
User: kurtispykes
movielens-dataset,Exploratory data analysis of movielesns-1m dataset
User: lal4tech
movielens-dataset,This is movie recommendation system with pandas back-end. There are a few things you can do with it. Search for movie, find movie what to watch based on genre and when you have watched a movie to find other movies similar to it.
User: lucko515
movielens-dataset,Any data but iris 👁
User: m-clark
movielens-dataset,A simple ML movie recommender engine
User: myke11j
movielens-dataset,Exploring the MovieLens Dataset with pySpark
User: nadia1123
movielens-dataset,Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
User: nikita9604
movielens-dataset,
User: nupurshukla
movielens-dataset,A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
Organization: nusdbsystem
movielens-dataset,Item-based recommender system on MovieLens data
User: offchan42
Home Page: https://docs.google.com/document/d/1Ygtp4iJ9pIoxXQijn0WhDTwwMfTeNaVldroDW_L9wHE/edit?usp=sharing
movielens-dataset,Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.
User: prakruti-joshi
movielens-dataset,Movie Recommendation System: Project using R and Machine learning
User: rpita623
movielens-dataset,This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.
User: rudrajikadra
movielens-dataset,PySpark implementation of the probabilistic latent semantic indexing algorithm
User: sachaizadi
movielens-dataset,Data analysis on Big Data. Used various databases from 1M to 100M including Movie Lens dataset to perform analysis. Covers basics and advance map reduce using MongoDB.
User: sayaliwalke30
movielens-dataset,deep learning project
User: shaghayeghjalali96
Home Page: https://iust-deep-learning.github.io/972/
movielens-dataset,Bayesian Personalized Ranking in Python
User: shah314
movielens-dataset,Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
User: shr1611
Home Page: https://www.kaggle.com/shrutijb/final-lightfm
movielens-dataset,Implementation of various popular Collaborative Filtering algorithms in Python.
User: shubhamjha97
movielens-dataset,It is a movie recommender web application which is developed using the Python.
User: spidy20
Home Page: https://movierecommenderknn.herokuapp.com/
movielens-dataset,Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
User: sudharshanshanmugasundaram
movielens-dataset,Using Hybrid Fuzzy logic and Genetic Algorithms to build a faster and accurate recommender system.
User: theanilbajar
movielens-dataset,Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
User: thomas-george-t
movielens-dataset,Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
User: upasanadhameliya
movielens-dataset,Script to run and find similarities between movies from a movie lens data set using Python & Spark Clustering.
User: vaibhavmagon
Home Page: https://grouplens.org/datasets/movielens/
movielens-dataset,
User: vatsalsaglani
Home Page: https://moviebert.ml
movielens-dataset,A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
User: vjvishaljha
movielens-dataset,tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
User: windqaq
movielens-dataset,Movielens project for partial completion of the HarvardX 125.9x Data Science course
User: yinchi
Home Page: https://yinchi.github.io/harvardx-movielens/
movielens-dataset,A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
User: zishansami102
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