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Topics To Learn In Decision Tree.
Topics To Learn In Decision Tree. Table Of Contents: Basic Understanding of Decision Trees. Splitting Criteria. Building a Decision Tree. Overfitting and Underfitting. Hyperparameters of Decision Trees. Handling Categorical Data. Evaluation Metrics for Decision Trees. Practical Implementation. Real-world Use Cases. Advancement In Decision Tree. (1) Basic Understanding of Decision Trees. (2) Splitting Criteria (3) Building a Decision Tree (4) Overfitting and Underfitting (5) Hyperparameters of Decision Trees. (6) Handling Categorical Data. (7) Evaluation Metrics for Decision Trees (8) Practical Implementation (9) Real-world Use Cases (10) Advanced Topics
