Decision Trees and BoostingIntroduces decision trees as a method for machine learning and explains boosting techniques for combining predictors.
Nonlinear Supervised LearningExplores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.
Decision Trees: ClassificationExplores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
