Description
This course provides an in-depth exploration of the design, deployment, and operation of machine learning systems and data analytics, with a focus on addressing real-world challenges and ensuring scalability. The course also provides key principles of data engineering, model development, feature engineering, and model evaluation. Additionally, the course integrates both theoretical concepts and hands-on projects, preparing students to build robust, scalable, and maintainable machine learning systems.