Machine Learning Fundamentals

What Will You Learn?

• Overview: An in-depth track designed to equip you with the skills to build, evaluate, and tune predictive models for complex data science problems.
• Key Topics: Supervised and unsupervised learning, model validation, feature engineering, ensemble methods, deep learning, and scikit-learn.
• Who it's for: Experienced Python users looking to specialize in machine learning and data science engineering.