Topics To Learn In Decision Tree.


Topics To Learn In Decision Tree.

Table Of Contents:

  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. 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

Leave a Reply

Your email address will not be published. Required fields are marked *