movie-lens
There are 0 repository under movie-lens topic.
1tangerine1day / recommender_systems
recommender systems algorithm
Language:Jupyter Notebook 3orosz-attila / Movie-Recommender
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.
Language:Python 2prushh / movie-lens-mlp
Data pipeline implementation to predict the average mark of a film from its features, using ML techniques
Language:Jupyter Notebook 2anirudhs123 / Neural-Recommender-system
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.
Language:Jupyter Notebook 0maxkokot / Optimization-For-DS-project
The final project created for Optimization for Data Science course
Language:Jupyter Notebook 0srezasm / Collaborative-RecSys
Extended version of the collaborative filtering recommender systems(RecSys) written in PyTorch
Language:Jupyter Notebook 0Srinithyee / Harvard-DataScience-Capstone
This is the Movielens Capstone project for the Data Science Course offered by Harvard.
Language:R 0- Language:Jupyter Notebook
oyounis19 / NCF-Recommender-System
NCF Paper Implementation (Pytorch)
Language:Jupyter NotebookPrashanth0205 / Big-Data-Movie-Lens-Analysis-using-MongoDB
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.
Language:Jupyter NotebookSamDaQueen / Ridge-and-Lasso-Regression
Predicting ratings of a movie using ridge regression and lasso regression trained on the Movie Lens database
Language:Jupyter Notebooksarthak-chakraborty / rrals
Leverage score based Tensor Completion algorithm, SPLATT
Language:C
