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Machine Learning model that will allow us to classify species of iris flowers. This application will introduce many rudimentary features and concepts of Machine Learning. Essentially the Hello World of Machine Learning.

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Iris Flower Classification

Iris flower classification is a very popular machine learning project.

The iris dataset contains three classes of flowers, Versicolor, Setosa, Virginica, and each class contains 4 features, ‘Sepal length’, ‘Sepal width’, ‘Petal length’, ‘Petal width’.

The aim of the iris flower classification is to predict flowers based on their specific features.

Required Packages

Numpy

Sklearn

Matplotlib

Tensorflow

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Machine Learning model that will allow us to classify species of iris flowers. This application will introduce many rudimentary features and concepts of Machine Learning. Essentially the Hello World of Machine Learning.

Topics

machine-learning deep-learning iris-flowers iris-classification rudimentary-features classify-species

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