This project implements Iris Flower Classification, one of the most popular beginner-friendly datasets in machine learning. The goal is to classify iris flowers into three species β Setosa, Versicolor, Virginica β based on four features: π± Sepal Length π± Sepal Width πΈ Petal Length πΈ Petal Width
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This project implements Iris Flower Classification, one of the most popular beginner-friendly datasets in machine learning. The goal is to classify iris flowers into three species β Setosa, Versicolor, Virginica β based on four features: π± Sepal Length π± Sepal Width πΈ Petal Length πΈ Petal Width
Naman04042006/Iris-Flower-Classification
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This project implements Iris Flower Classification, one of the most popular beginner-friendly datasets in machine learning. The goal is to classify iris flowers into three species β Setosa, Versicolor, Virginica β based on four features: π± Sepal Length π± Sepal Width πΈ Petal Length πΈ Petal Width
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