教學目標：This course is intended to provide students with the fundamental concepts and algorithms in Machine Learning. Additionally, students can understand and learn how to implement solutions to real-world machine learning problems by working through case study predictive modeling problems in Python. We will cover various topics, including decision trees, logistic regression, support vector machines, ensemble methods, Bayesian methods, neural networks, clustering, and dimensionality reduction.