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Interactive Learning
Learn rule-based decision making. Decision Trees is a beginner machine learning algorithm used for categorizing data into classes. Before learning Decision Trees, you should understand: probability-basics, conditional-probability. Real-world applications include: Credit scoring, Medical diagnosis, Customer segmentation. This is a foundational concept suitable for beginners.
Credit scoring
Medical diagnosis
Customer segmentation
Interactive lesson with visualizations and practice problems
Part of the Decision Trees lesson in Machine Learning