Topic: movielens-data-analysis Goto Github
Some thing interesting about movielens-data-analysis
Some thing interesting about movielens-data-analysis
movielens-data-analysis,Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
User: abhilampard
movielens-data-analysis,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.
User: agciss
movielens-data-analysis,
User: arshdeepdhillon
Home Page: http://grouplens.org/datasets/movielens/latest/
movielens-data-analysis,This repository contains analysis of IMDB data from multiple sources and analysis of movies/cast/box office revenues, movie brands and franchises
User: ashmitan
movielens-data-analysis,Some code to analyse MovieLensโ datasets
User: bfontaine
movielens-data-analysis,Building a movie recommender system with factorization machines on Amazon SageMaker.
User: chankh
movielens-data-analysis,Spark MLLIB: Collaborative Filtering Movie Recommendation System
User: crazyalin92
movielens-data-analysis,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!
User: dpershall
movielens-data-analysis,A Feature Preference based CF Experiment on MovieLens 100K dataset
User: dsfx3d
movielens-data-analysis,Movie recommendation system based on Collaborative filtering using Apache Spark
User: gautamworah96
movielens-data-analysis,MovieLens Dataset analysis using Hadoop and Pyspark
User: harshoza36
movielens-data-analysis,Data analysis and movie recommendation of OpenMovie dataset by using the shell, Python, Cosine Similarity algorithm, Apache PySpark, and Apache Hadoop.
User: hchen98
movielens-data-analysis,This is a project made as a part of my data science master's program to analyze and draw inference from Movielens data.
User: hermonmasih
movielens-data-analysis,Created visualizations of the MovieLens data set using matrix factorization http://www.yisongyue.com/courses/cs155/2018_winter/assignments/project2.pdf
User: jaceyca
movielens-data-analysis,Project to determine the ratings for a movie using each of the Spark & Hadoop Eco-system.
User: jayvardhan-reddy
movielens-data-analysis,
User: jr2ngb2
movielens-data-analysis,Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.
User: melihgulum
movielens-data-analysis,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
User: nicolemeinie
movielens-data-analysis,Contains my custom implementation of various machine learning models and analysis.
User: pandey-anurag
movielens-data-analysis,Implementation of Spotify's Generalist-Specialist score on the MovieLens dataset.
User: ptuls
movielens-data-analysis, 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.
User: sayaliwalke30
movielens-data-analysis,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-data-analysis,Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.
User: thomas-george-t
movielens-data-analysis,Analysis of MovieLens Dataset in Python
User: umaimat
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.