movielens-data-analysis

There are 2 repositories under movielens-data-analysis topic.

• Thomas-George-T / Movies-Analytics-in-Spark-and-Scala

  Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

  sparkspark-sqlrddshell-scriptbig-datadataframesmovielens-data-analysisbig-data-analyticsbig-data-projectsspark-programsscalamovielens-datasetanalyticscase-studyspark-dataframesspark-rddhadoopspark-scalamovies
  Language:Scala 93

• abhilampard / Movie_Recommendation_Engine

  Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

  collaborative-filteringmovie-recommendationrecommend-moviespivot-tablesmovielensmovielens-data-analysisrecommendationrecommendation-enginemovie-recommender
  Language:Jupyter Notebook 23

• MelihGulum / Exploratory-Data-Analysis-EDA

  Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.

  matplotlibmovielensmovielens-data-analysisnetflix-datasetpandas-tutorialseaborntitanicplotlyexploratory-data-analysis
  Language:Jupyter Notebook 9

• ashmitan / IMDB-Analysis

  This repository contains analysis of IMDB data from multiple sources and analysis of movies/cast/box office revenues, movie brands and franchises

  analysisimdb-datatableau-desktoptalend-dataintegrationetl-pipelinebusinessintelligenceimdb-analysismovielens-data-analysispowerbi
  Language:TSQL 7

• chankh / sagemaker-fm-movielens

  Building a movie recommender system with factorization machines on Amazon SageMaker.

  sagemakerfactorization-machinesmovielensmovielens-data-analysisrecommender-systemrecommendation-systemrecommendation-engine
  Language:Jupyter Notebook 5

• bfontaine / movielens-data-analysis

  Some code to analyse MovieLens’ datasets

  movielens-data-analysispython
  Language:Python 3

• ptuls / movielens-diversity-metric

  Implementation of Spotify's Generalist-Specialist score on the MovieLens dataset.

  diversity-measuresmachine-learningmovielens-data-analysisrecommender-system
  Language:Jupyter Notebook 3

• crazyalin92 / movie_recomendation_system

  Spark MLLIB: Collaborative Filtering Movie Recommendation System

  sparkcollaborative-filteringspark-mllibmovielens-data-analysis
  Language:Scala 2

• HarshOza36 / MovieLens_PySpark

  MovieLens Dataset analysis using Hadoop and Pyspark

  hadoopspark-sqlsparkpysparkmovielensmovielens-data-analysisbig-data-analytics
  Language:Jupyter Notebook 2

• sayaliwalke30 / MongoDB-Mapreduce

  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.

  data-analysismap-reducemongodbmongodb-mapreducemovielens-data-analysismovielens-dataset
  2

• umaimat / MovieLens-Data-Analysis

  Analysis of MovieLens Dataset in Python

  pythonmovielensmovielens-datasetmovielens-data-analysis
  Language:Jupyter Notebook 2

• gautamworah96 / CineBuddy

  Movie recommendation system based on Collaborative filtering using Apache Spark

  apache-sparkcollaborative-filteringmovie-recommendationmovielens-data-analysis
  Language:Python 1

• sayaliwalke30 / Hadoop-Mapreduce

  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 Hadoop.

  hadoopdata-analysismapreduce-javahivehadoop-mapreduceanalysismap-reducemovielens-datasetmovielens-data-analysis
  1

• agciss / Mini-Project-MovieLens-Analytics

  Analytics data for looking : filter movies with drama genre, most rated movies, number of users and average rating for each age range,etc. Visualize the count and age of moviegoers with the Matplolib library and Show movies, age range, average rating.

  analyst-notebookdataanalystmovielens-data-analysis
  Language:Jupyter Notebook 0

• arshdeepdhillon / Collaborative-Movie-Recommender

  svdmlmovie-recommendationmovielens-data-analysis
  Language:Python 0

• DPershall / MovieLens_Capstone_Project

  This is one of my final projects for the HarvardX Data Science Professional Certificate Program. As the title suggests, it is on the GroupLense database colloquially known as MovieLens. The goal of the project is to predict ratings with a RMSE below .86490. I was able to surpass the goal with 3 different models. Happy reading!

  movie-recommendationmovielens-data-analysisrecommenderlabrecosystemregularization
  Language:R 0

• HermonMasih / DSP-Movielens-Project

  This is a project made as a part of my data science master's program to analyze and draw inference from Movielens data.

  pythonmovielensmovielens-data-analysismovielens-movie-recommendation
  Language:Jupyter Notebook 0

• jaceyca / MovieLensVisualization

  Created visualizations of the MovieLens data set using matrix factorization http://www.yisongyue.com/courses/cs155/2018_winter/assignments/project2.pdf

  movielens-data-analysisnetflix
  Language:Python 0

• jr2ngb2 / Movie_Success_Prediction

  kmeans-clusteringknn-classificationmovielens-data-analysisrandom-forest
  Language:Jupyter Notebook 0

• NicoleMeinie / Recommender-system

  A recommendation algorithm capable of accurately predicting how a user will rate a movie they have not yet viewed based on their historical preferences. The models and EDA are based on the 1M MOVIELENS dataset

  collaborative-filteringmovielens-data-analysisrecommender-systemsingular-value-decomposition
  Language:Jupyter Notebook 0

• pandey-anurag / MachineLearning-

  Contains my custom implementation of various machine learning models and analysis.

  machine-learning-algorithmsknn-classificationsvm-classifierlinear-regressionadagradmomentummatrix-factorizationkmeans-clusteringspam-classificationsms-classificationrecommender-systemmovielens-data-analysis
  Language:Jupyter Notebook 0

• aliarimi / HarvardX---PH125.9x-Data-Science-Capstone---Movie-Lens

  Recommendation systems are well-known machine learning systems that use data to predict and provide suggestions for an item or items in such a way that users can choose it from a huge number of items offered to them.

  capstone-projectdata-scienceharvardharvardx-capstonemovielens-data-analysisrecommender-system
  Language:R

• dsfx3d / movielens

  A Feature Preference based CF Experiment on MovieLens 100K dataset

  collaborative-filteringmovielens-data-analysisrecommender-system
  Language:Jupyter Notebook

• hchen98 / DTSC701-project

  Data analysis and movie recommendation of OpenMovie dataset by using the shell, Python, Cosine Similarity algorithm, Apache PySpark, and Apache Hadoop.

  movielens-datasetmovielens-data-analysismovie-recommendationmovielens-movie-recommendationsparkpyspark-pythonshell-script
  Language:Python

• Jayvardhan-Reddy / movie-lens-usecase

  Project to determine the ratings for a movie using each of the Spark & Hadoop Eco-system.

  bigdatasparksparksqlhivehbasehdfshadoopmovielens-datasetmovielens-data-analysismovielens
  Language:Scala