Decision Trees and BoostingIntroduces decision trees as a method for machine learning and explains boosting techniques for combining predictors.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Decision Trees: ClassificationExplores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Decision Trees and BoostingExplores decision trees in machine learning, their flexibility, impurity criteria, and introduces boosting methods like Adaboost.