Machine Learning and AI with Python Course of HarvardX

Description of the HarvardX Machine Learning and AI with Python Course

The Machine Learning and AI with Python course by HarvardX provides a comprehensive introduction to the principles, tools, and applications of modern artificial intelligence. Students learn how to implement core machine learning algorithms using Python, including supervised and unsupervised learning techniques such as regression, classification, clustering, and neural networks.

The course emphasizes both the theoretical foundations of AI and hands-on practice with real data, enabling learners to build predictive models, evaluate their performance, and understand their limitations.

Key topics include data preprocessing, feature engineering, model selection, bias and variance trade-offs, natural language processing, and ethical considerations in AI. By the end of the course, students will have the skills to design, train, and deploy machine learning models, and to apply AI methods to solve practical problems across diverse domains.