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A step-by-step walkthrough of basic supervised learning workflows using the Iris dataset.
<div>This notebook demonstrates the end-to-end process of loading the Iris dataset, splitting into training and test sets, and applying two different classifiers (Logistic Regression and K-Nearest Neighbors). It covers model training, prediction, and evaluation via accuracy, confusion matrices, and classification reports .</div><div><br></div>
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