https://github.com/radoslawregula/iris-classification

Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.
https://github.com/radoslawregula/iris-classification

classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier

Last synced: about 2 months ago
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Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

• Host: GitHub
• URL: https://github.com/radoslawregula/iris-classification
• Owner: radoslawregula
• Created: 2020-02-20T12:11:55.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-20T13:18:35.000Z (almost 5 years ago)
• Last Synced: 2023-10-20T00:14:14.883Z (about 1 year ago)
• Topics: classification, iris-dataset, jupyter-notebook, machine-learning, python, scikit-learn, softmax-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 110 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Classification of Iris flowers with extended data preprocessing

Python code offering a method to efficiently classify data from the Iris set. Data preprocessing step was extended 

in comparison to the original version because of simulated faultiness of gathered data. 

Scikit-learn library was used to prepare data as well as implement and evaluate machine learning models.