Decision Trees are a cornerstone of interpretable machine learning, blending simplicity with powerful predictive capabilities. This blog explores their architecture, how they learn from data, and their applications in futuristic AI systems. From basic concepts to code snippets, discover how decision trees can revolutionize decision-making processes in AI-driven environments, enabling transparent and efficient solutions for complex problems.