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BU.520.775

Practical Machine Learning

Johns Hopkins University 2 credits Quantitative Methods

Course Description

This course provides hackathon- and project-based learning opportunities for students to develop, assess, and explain supervised machine learning solutions for common business use cases using tabular and text data. Additionally, the course will explore the development and assessment of either reinforcement learning or causal machine learning models at the option of the instructor. Students will develop solutions using Python and machine learning platforms. Prerequisite(s): BU.510.615 AND BU.520.601

Code
BU.520.775
Credits
2
Subject
Quantitative Methods

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