everything.study
ENBC 321

Machine Learning for Data Analysis

3 Credits

Instructs students in the fundamentals of machine learning methods through examples in the biological phenomenon and clinical data analysis. This course is designed to share knowledge of real-world data science and aid to learn complex machine learning theory, algorithms, and coding libraries in a simple way. Students will learn the machine learning theory, but they will also get hands-on practice building their models using programming tools such as Python and R.

Prerequisites & course information

Prerequisite: Minimum grade of C- in ENBC311 and ENBC332 . Restriction: Permission of ENGR-Fischell Department of Bioengineering department; and must be in the Biocomputational Engineering major.

Sources