ENBC321
Machine Learning for Data Analysis
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.
Spring 2024
1 review
Average rating:
5.00
Fall 2023
1 review
Average rating:
5.00
Spring 2023
1 review
Average rating:
5.00
Past Semesters
1 review
Average rating:
5.00