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UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://ml-nexus.vercel.app/
MIT License
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Feature request "Iris Dataset classification" under supervised learning/KNN/ #97

Closed Mayank202004 closed 1 month ago

Mayank202004 commented 1 month ago

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.

github-actions[bot] commented 1 month ago

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 commented 1 month ago

@UppuluriKalyani please verify the pr

github-actions[bot] commented 1 month ago

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