Dimensionality Reduction and Segmentation with Decision Trees - Python Code

Explore advanced applications of decision trees in this 17-minute video tutorial, focusing on dimensionality reduction and segmentation using Python. Learn how to reduce predictor count and perform predictor segmentation through practical examples, including parsimonious breast cancer detection and sepsis risk-based age segmentation. Gain insights into leveraging decision trees beyond basic predictions, with step-by-step code demonstrations and explanations. Access additional resources, including a blog post and example code, to further enhance your understanding of these advanced decision tree techniques.

Intro -
2 Uses of Decision Trees -
Use 1 Reduce Predictor Count -
Example Code 1: Parsimonious Breast Cancer Detection -
Use 2 Predictor Segmentation -
Example Code 2: Sepsis Risk-based Age Segmentation -