Introduction to Machine Learning with Python
  • Type Certification
  • Level Foundational
  • Time Months
  • Cost Paid

Introduction to Machine Learning with Python

Issued by UC Davis Division of Continuing and Professional Education

Earners of this badge can effectively import, prepare, model and visualize data using the Python programming language. The badge holder has demonstrated the ability to utilize Python to deploy selected machine learning models. The badge holder applied these skills in the Introduction to Machine Learning with Python course - completing 20 hours of instruction and 40 hours of hands-on project work.

  • Type Certification
  • Level Foundational
  • Time Months
  • Cost Paid

Skills

Earning Criteria

  • Learner has passed UC Davis Continuing and Professional Education "Introduction to Machine Learning with Python", an Academic Credit-bearing course with a grade of “C” or better.
  • Learner completed assignment components of the course with grade of “C” or better. Assignments included: - Examining common data preparation tasks - Cleaning and visualizing data - Assessing efficient ways to explore data - Testing and evaluating predictive models using Python
  • The learner has completed a "data modeling" project with grade of “C” or better as assessed by the course instructor. In the project the learner applied knowledge of Python programming to implement various machine learning models (such as linear regression, logistic regression, and decision trees) using Scikit-learn.