Understand core ML algorithms and scikit-learn fundamentals.
This course covers supervised learning, unsupervised learning, regression, classification, clustering, and model evaluation techniques.
Learn linear regression, decision trees, random forests, k-means clustering, cross-validation, and hyperparameter tuning with scikit-learn.