Classification Trees in Python from Start to Finish

Classification Trees in Python from Start to Finish

Learn to implement classification trees in Python from start to finish in this comprehensive webinar. Explore the entire process, including importing modules and data, handling missing data, formatting data with one-hot encoding, building preliminary trees, pruning techniques, and creating the final tree. Gain practical insights into visualizing alpha values and applying cross-validation for optimal tree construction. Perfect for those already familiar with decision trees, cross-validation, confusion matrices, cost complexity pruning, and concepts of bias, variance, and overfitting.