A Decision Tree is a well-liked supervised machine learning algorithm, and that is utilized for both classification and regression complications. It's a hierarchical structure by which The inner nodes denote the dataset characteristics, branches suggest the decision principles, and each leaf node represents The end result.
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Unsupervised learning is usually a technique that assists you analyze and cluster unlabelled data sets. Clustering is often a technique that clusters or groups data.
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