https://github.com/dan-niles/iris-ml

Machine learning on the Iris dataset
https://github.com/dan-niles/iris-ml

iris-dataset machine-learning scikit-learn

Last synced: 5 days ago
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Machine learning on the Iris dataset

• Host: GitHub
• URL: https://github.com/dan-niles/iris-ml
• Owner: dan-niles
• Created: 2023-02-10T07:19:22.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-17T13:08:41.000Z (almost 2 years ago)
• Last Synced: 2024-11-12T07:40:25.578Z (2 months ago)
• Topics: iris-dataset, machine-learning, scikit-learn
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning on the Iris Dataset

This repo contains a simple Python script to perform machine learning on the Iris dataset.

The Iris dataset is a classic dataset in machine learning and statistics. It is included in scikit-learn. The dataset contains 150 samples of three different species of Iris (Iris setosa, Iris virginica and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters.

## Libraries

The following libraries are used in this project:

- [Pandas](https://pandas.pydata.org/)

- [Numpy](https://numpy.org/)

- [Matplotlib](https://matplotlib.org/)

- [Scikit-learn](https://scikit-learn.org/stable/)

## References

Tutorial on ML on the Iris Dataset : [https://machinelearningmastery.com/machine-learning-in-python-step-by-step/](https://machinelearningmastery.com/machine-learning-in-python-step-by-step/)