Explanation of decision trees, tree-based algorithms, ensemble methods, and the concept of random forests for classification and regression tasks.
Decision Trees: Decision trees are a popular machine learning algorithm used for both classification and regression tasks. They work by recursively splitting the dataset into subsets based on the most significant attribute at each node. At each node, the algorithm selects the attribute that best splits the data into purest subsets using metrics like Gini impurity or entropy. The process continues...…
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