Introduction to Machine Learning - Course Outline

Detailed Course Outline for Machine Learning course. This 16-week introductory course on ML is designed to provide hands-on experience with core ML concepts, tools, and applications. The curriculum covers foundational topics such as types of learning (supervised, unsupervised, reinforcement), ML lifecycle, AutoML, data analysis, feature engineering, model optimization, and essential tools like Jupyter, GitHub, and Scikit-Learn. Each module includes practical labs, and the course concludes with a final project or exam.

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