This project is a Machine Learning model for the implementation of iris dataset. The implementation is done using SciKit Learn. It contains the iris dataset and predicts what a specie might be for a given set of input. The input data array consists of 4 elements=> ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'] The output target array consists of 3 species=> ['setosa' 'versicolor' 'virginica'] 0 stands for setosa 1 stands for versicolor 2 stands for virginica
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Sam-Jain/iris_dataset
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This is a very easy and basic implementation of machine learning example on the iris dataset.
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