The recommendation system aims to suggest the best suitable courses for learners who have taken at least one course.
Project description
Recommendation System
The recommendation system aims to suggest the best suitable courses for learners who have taken at least one course.
Table of Contents
Installation
To install and set up the project, you can use the following command:
pip install isne-recommendation
For detailed instructions on how to install the Study Focus Recommendation System, please navigate to our installation guide on installation. Follow the step-by-step instructions to set up the system on your machine and start enhancing your study experience today.
Tutorial
After installation is successful, you can now import these functions from an isne_recommendation package:
from isne_recommendation import TfidfLinearKernel, FeatureRatingsKNN, Hybrid
Are you seeking to unravel the mysteries behind recommendation systems? Look no further! Dive into the comprehensive guide available at tutorial.
Contributors
Check out our contribution guidelines to learn how you can get involved. Whether it's coding, documentation, testing, or providing feedback, every contribution makes a difference and helps us create a better tool for students worldwide.
License
License: MIT
Please refer to the LICENSE for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file isne_recommendation-0.1.3.tar.gz
.
File metadata
- Download URL: isne_recommendation-0.1.3.tar.gz
- Upload date:
- Size: 132.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | def274a2f80f207cbcfb9debebcf3409f6193b6953e0c72b4808cce1492161bc |
|
MD5 | ded41f3aab2108e5460e8d78715fc6b6 |
|
BLAKE2b-256 | 171e000cfff679f2f4c06c5ff9c38bea9e4058f6bb25d82fa74110e36e8b960a |
File details
Details for the file isne_recommendation-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: isne_recommendation-0.1.3-py3-none-any.whl
- Upload date:
- Size: 11.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2c4804ec17be4390beb58838fd2bc5a23621661359ec275b16cf3000dfef27eb |
|
MD5 | 80c86ae9422bc071800f0f0e0b72eddf |
|
BLAKE2b-256 | be2f22b69dff8cffdbea561c6b922057cc5ff43e4be34e715fc364a4ec47e3ff |