Dive into the world of decision trees and their application in machine learning through this comprehensive 50-minute video tutorial. Learn the fundamentals of decision trees by tackling a real-world problem using the Titanic dataset. Build a decision tree from scratch and explore its application in regression tasks. Gain insights into key concepts such as decision nodes, leaves, depth, Gini impurity, entropy, and squared loss. Compare the custom-built decision tree with one created using scikit-learn. Discover how to implement and interpret decision trees for both classification and regression problems, enhancing your understanding of this powerful machine learning algorithm.