Recipients of Uplimit’s Applied Machine Learning: Regression and Classification certificate have developed technical expertise in designing, building, and debugging machine learning models for regression and classification tasks. They applied best practices for ML development, explored evaluation metrics, and practiced iterative, hypothesis-driven approaches to improve model performance.

Certification criteria:

Learned and implemented foundational ML techniques, including regression with numerical outputs, classification with categorical outputs, and iterative ML development using Python (Numpy, Scikit-learn, and Pyplot). Explored advanced regression and classification approaches, metrics, and techniques for model evaluation and debugging.

Actively participated in Uplimit’s hands-on course on Applied Machine Learning, engaging in expert-led lectures and interactive projects.

January 1, 2025 Instructor: Dr. Andrew Maas, Julie Kallini

issued by

Developed and tested ML models, including regression and multi-class classification systems, with practical benchmarking on the Fashion MNIST dataset. They applied ML system design principles, integrating Lean Startup methods for iterative project planning, debugging, and optimization.