
This document certifies that
Ryan Mertz
has successfully achieved the
Uplimit Applied Machine Learning: SOTA Modeling certification
Learning: SOTA Modeling certificate have built advanced technical expertise in designing, developing, and debugging machine learning models for both regression and classification tasks. They gained hands-on experience applying best practices in planning, executing, and optimizing ML development projects, using a range of real-world datasets and tools like Python, Numpy, Scikit-learn, and Pyplot. This course builds on foundational skills from the first course in the series, Applied Machine Learning: Regression and Classification, and equips learners to tackle more complex modeling challenges with confidence.
Certification criteria:
Applied structured workflows and best practices to the design and implementation of classification and regression models using Python libraries including Numpy, Scikit-learn, and Pyplot.
Actively participated in Uplimit’s hands-on course on Applied Machine Learning: SOTA Modeling, engaging in expert-led lectures and interactive projects.
March 31, 2025
Instructor: Dr. Andrew Maas, Julie Kallini
issued by
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Developed and evaluated high-performing models across diverse datasets, with an emphasis on real-world relevance and systematic performance improvement.
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Ryan Mertz
Congratulations on receiving your Applied Machine Learning: SOTA Modeling certificate credential from Uplimit! This course was designed to be challenging, and you stepped up in all the right ways.
Skills / Knowledge
- sota modeling
- applied machine learning
- ml
- regression
Issued on
March 31, 2025
Expires on
Does not expire