https://github.com/caiocarneloz/sklearn-semi

Simple example for sklearn semi-supervised learning using iris dataset
https://github.com/caiocarneloz/sklearn-semi

semi-supervised-learning tool utilities

Last synced: about 1 month ago
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Simple example for sklearn semi-supervised learning using iris dataset

• Host: GitHub
• URL: https://github.com/caiocarneloz/sklearn-semi
• Owner: caiocarneloz
• Created: 2020-04-06T23:49:23.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-12T03:25:39.000Z (over 4 years ago)
• Last Synced: 2023-10-19T21:03:50.480Z (about 1 year ago)
• Topics: semi-supervised-learning, tool, utilities
• Language: Python
• Size: 4.88 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# sklearn-semi

This code was developed as a part of my [Medium Story](https://medium.com/@caiocarneloz/a-simple-introduction-to-semi-supervised-learning-e20b2fe29ca0) at [Level Up Coding](https://levelup.gitconnected.com/) 

about semi-supervised learning concepts and usage with scikit-learn.

## Getting Started

#### Dependencies

You need Python 3.5 or later to run **sklearn-semi**. You can find it at [python.org](https://www.python.org/).

You aso need numpy and sklearn packages, which is available from [PyPI](https://pypi.org). If you have pip, just run:

```

pip install numpy sklearn

```

#### Installation

Clone this repo to your local machine using:

```

git clone https://github.com/caiocarneloz/sklearn-semi.git

```