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Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

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Classification of Iris flowers with extended data preprocessing

Python code offering a method to efficiently classify data from the Iris set. Data preprocessing step was extended in comparison to the original version because of simulated faultiness of gathered data.

Scikit-learn library was used to prepare data as well as implement and evaluate machine learning models.

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Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

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