Introduction to Machine Learning with Python

Learn the fundamentals of machine learning using Python and scikit-learn. This course covers supervised learning algorithms including k-nearest neighbors, linear models, naive Bayes, decision trees, random forests, and support vector machines. You'll build practical models, evaluate their performance, and understand key concepts like overfitting and generalization.