https://github.com/arush-codes/lgmvip-data-science-task-1

https://github.com/arush-codes/lgmvip-data-science-task-1

data data-science iris-classification lgmvip virtual-internship

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/arush-codes/lgmvip-data-science-task-1
• Owner: aRUsh-codes
• License: apache-2.0
• Created: 2023-06-07T18:38:17.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-06-11T08:52:39.000Z (over 2 years ago)
• Last Synced: 2025-10-14T17:17:33.022Z (5 months ago)
• Topics: data, data-science, iris-classification, lgmvip, virtual-internship
• Language: Jupyter Notebook
• Homepage:
• Size: 718 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Iris_multipleLogisticRegression

This data sets consists of 3 different types of irises’ (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray. Using Multiple Logistic Regression I have classified which species the feeded information belongs to.