A visual representation of a Decision Tree in Data Science showing how data is split into branches based on conditions to make predictions and support machine learning decision-making.
Decision Tree in Data science: Definition, Algorithm, Examples explained
A Decision Tree in Data Science is a machine learning algorithm used for classification and prediction. It works by splitting data into branches based on conditions such as age, income, or credit score. Decision trees help simplify complex decisions, making models easy to interpret and widely used in real-world analytics applications.