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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.
The text was updated successfully, but these errors were encountered:
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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.
The text was updated successfully, but these errors were encountered: