MATH 10 (4.0 units) – Session II
Introduction to Python for data science. Selecting appropriate data types; functions and methods; plotting; the libraries NumPy, pandas, scikit-learn. Foundations of machine learning. Corequisite: (MATH 2D or MATH H2D) and (MATH 3A or MATH H3A). Prerequisite: (MATH 2D or MATH H2D) and (MATH 3A or MATH H3A) and MATH 9. (II and VB ). Online Course. Access your online course on Canvas at https://ucirvine.instructure.com/ once instruction begins.