Movie_recommendation_engine | repository contains the code for building movie

by jalajthanaki Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Movie_recommendation_engine Summary

Movie_recommendation_engine is a Jupyter Notebook library. Movie_recommendation_engine has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

It contains 100004 ratings and 1296 tag applications across 9125 movies. These data were created by 671 users between January 09, 1995 and October 16, 2016. This dataset was generated on October 17, 2016. Users were selected at random for inclusion. All selected users had rated at least 20 movies. No demographic information is included. Each user is represented by an id, and no other information is provided. The data are contained in the following files. More details about the contents and use of all these files is given in README.txt.

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Support

Movie_recommendation_engine has a low active ecosystem.

It has 66 star(s) with 48 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Movie_recommendation_engine is current.

Quality

Movie_recommendation_engine has no bugs reported.

Security

Movie_recommendation_engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Movie_recommendation_engine does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Movie_recommendation_engine releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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Movie_recommendation_engine Key Features

No Key Features are available at this moment for Movie_recommendation_engine.

Movie_recommendation_engine Examples and Code Snippets

No Code Snippets are available at this moment for Movie_recommendation_engine.

Community Discussions

No Community Discussions are available at this moment for Movie_recommendation_engine.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Movie_recommendation_engine

In-case, there is need to download dataset then use either of the given links.
If you wnat to download MovieLens dataset hosted on Kaggle then use this link
If you want to download MovieLens dataset from its official website then use this link
Step 1: Download python form this link. Step 2: Refer this link or this link in oreder to install python. Step 1: Download Anaconda 5.1 (python 3.6 version) using this link. Step 2: See the installation instruction given on this link. Note: If you have any other version of python then install anaconda which supports that particular version of python.
Step 1: Download python form this link
Step 2: Refer this link or this link in oreder to install python
Step 1: Download Anaconda 5.1 (python 3.6 version) using this link
Step 2: See the installation instruction given on this link
If you are facing issue for installing surprise then try the following links which can help you.
If conda is not working then try to install surprise using pip
See this installation instructions
See these links if you have any issues. link 1 link 2 link 3 link 4
Step 1: Download pycharm IDE community edition by using this link
Step 2: Install .exe file.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: