Decision Trees for Machine Learning From Scratch

Learn to build decision trees for applied machine learning from scratch in Python. Decision trees are one of the hottest topics in Machine Learning. They dominate many Kaggle competitions nowadays. This course covers both fundamentals of decision tree algorithms such as CHAID, ID3, C4.5, CART, Regression Trees and its hands-on practical applications. Besides, we will mention some bagging and boosting methods such as Random Forest or Gradient Boosting to increase decision tree accuracy.