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Feature request "Iris Dataset classification" under supervised learning/KNN/ #97

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Mayank202004 opened this issue Oct 5, 2024 · 3 comments · Fixed by #103
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@Mayank202004
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IRIS DATASET CLASSIFICATION

This project is just to show beginners how KNN algorithm which is a supervised ML algorithm works.
Theory
This data sets consists of 3 different types of irises’ (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray
The rows being the samples and the columns being: Sepal Length, Sepal Width, Petal Length and Petal Width.

Approach
The proposed project will utilize K nearest Neighbours to classify the types of irises based on sepal and petal size.

@Mayank202004 Mayank202004 added the enhancement New feature or request label Oct 5, 2024
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github-actions bot commented Oct 5, 2024

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. Your contributions are highly appreciated! 😊

@Mayank202004
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@UppuluriKalyani please verify the pr

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github-actions bot commented Oct 5, 2024

Hello @Mayank202004! Your issue #97 has been closed. Thank you for your contribution!

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