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Anime_Recommendation_System

Anime Recommendation System is a project designed to give users Anime Watching recommendations based on the Anime they have already watched using various Machine Learning Techniques

USAGE

Just type ars followed by the search argument in quotation marks, for example:

ars "One Punch Man"

Metadata

Release files for animrec 1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for animrec 1.6
File Size Uploaded Provenance
animrec-1.6.tar.gz 461.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for animrec 1.6
File Interpreter ABI Platform
animrec-1.6-py3-none-any.whl Python 3 none any Details

Total release size: 923.8 kB

Release files / animrec-1.6.tar.gz

Download URL animrec-1.6.tar.gz
Size 461.0 kB
Tags Source
SHA-256 checksum
How to use checksums
1f93b649339ed5179b3feceac9a0a71fb35d43b82bfe86cfe54f020b1a578488
BLAKE2b-256 checksum
How to use checksums
c5d9c1f002d730fe561945427ad43c54dd7693186b289847c17b447fb71f7838
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.7

Release files / animrec-1.6-py3-none-any.whl

Download URL animrec-1.6-py3-none-any.whl
Size 462.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2c014efd8a6f419bb01e618e7077cf3b51769730c3143aa4f96bfb77f56519e8
BLAKE2b-256 checksum
How to use checksums
e68c527be3a651e90963da4c213c4f949220cd5a5062de8965a9e3216d2da721
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.7

Security for animrec 1.6

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No provenance found

None of the files in this release were uploaded with provenance metadata.

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