Topic: movie-lens Goto Github
Some thing interesting about movie-lens
Some thing interesting about movie-lens
movie-lens,recommender systems algorithm
User: 1tangerine1day
movie-lens,pyspark notebook with movie lens dataset
User: alext234
movie-lens,This work involved building a pipeline of recommender systems comprising of Popularity based recommender, KNN similarity based Clustering recommender, Item-Item association based recommender, Bi-Partite graph based association recommender, Neural Graph based Collaborative Filtering and Neural Embedding based Collaborative filtering.
User: anirudhs123
Home Page: https://anirudhs123.github.io/Neural-Recommender-system
movie-lens,The final project created for Optimization for Data Science course
User: maxkokot
movie-lens,The movie recommender is based on the Collaborative Filtering approach, and creates predictions for movie ratings with Matrix Factorization technique, more precisely, the SVD (Singular Value Decomposition) algorythm of SurPRISE library. Trained on 'small' dataset of MovieLens.
User: orosz-attila
Home Page: https://share.streamlit.io/orosz-attila/movie-recommender/main
movie-lens,NCF Recommender System (Pytorch)
User: oyounis19
Home Page: https://ncf-recsys.streamlit.app/
movie-lens, This project analyzes movie data using MongoDB and Matplotlib, deriving insights through preprocessing, visualization, trend analysis, and text analysis techniques. It aims to uncover patterns in movie preferences and production trends.
User: prashanth0205
movie-lens,Data pipeline implementation to predict the average mark of a film from its features, using ML techniques
User: prushh
movie-lens,Predicting ratings of a movie using ridge regression and lasso regression trained on the Movie Lens database
User: samdaqueen
movie-lens,Leverage score based Tensor Completion algorithm, SPLATT
User: sarthak-chakraborty
movie-lens,Extended version of the collaborative filtering recommender systems(RecSys) written in PyTorch
User: srezasm
movie-lens,This is the Movielens Capstone project for the Data Science Course offered by Harvard.
User: srinithyee
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