Classification Models in Python - Tuning Hyperparameters

This video shows how to tune hyperparameters in Python to improve the accuracy of Decision Trees, Random Forest, and Gradient Boosting Machine classification models. It also includes K-Fold and Stratified K-Fold cross validation to assess the tuned model. Python workbook available here: https://drstephpowers.github.io/BIA/