Learn Decision Trees 101

Explore the power of decision trees with this comprehensive collection of Python notebooks! Using scikit-learn, these interactive guides will take you on a journey to learn and apply the fundamentals of decision tree algorithms. From building and visualizing models to tuning hyperparameters and handling missing values, these notebooks cover it all. Whether you're a beginner looking to get started with machine learning or an experienced practitioner seeking to refine your skills, this collection is sure to provide valuable insights and hands-on practice.