CMSY 231 Machine Learning I

Machine learning involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed. The course utilizes computer algorithms that use statistical techniques to understand patterns from data and improve its performance over time. Upon completion of the course, students will have knowledge of supervised learning, regression and classification, and ensemble technique.

Credits

3

Prerequisite

CMSY 156

Hours Weekly

3.5

Course Objectives

1. Use programming language to clean and prepare datasets.
2. Train a machine learning model to predict an output variable based on input variables using supervised learning.
3. Demonstrate an understanding of how continuous and categorical variables predict outcomes.
4. Combine multiple machine learning models to improve prediction accuracy.

Course Objectives

1. Use programming language to clean and prepare datasets.

   This objective is a course Goal Only

   Learning Activity Artifact

   • Other (please fill out box below)
   • Lab

   Procedure for Assessing Student Learning

   • Other (please fill out box below)
   • Lab rubric
2. Train a machine learning model to predict an output variable based on input variables using supervised learning.

   This objective is a course Goal Only

   Learning Activity Artifact

   • Other (please fill out box below)
   • Lab

   Procedure for Assessing Student Learning

   • Other (please fill out box below)
   • Lab Rubric
3. Demonstrate an understanding of how continuous and categorical variables predict outcomes.

   This objective is a course Goal Only

   Learning Activity Artifact

   • Other (please fill out box below)
   • Lab

   Procedure for Assessing Student Learning

   • Other (please fill out box below)
   • Lab Rubric
4. Combine multiple machine learning models to improve prediction accuracy.

   This objective is a course Goal Only

   Learning Activity Artifact

   • Other (please fill out box below)
   • Lab

   Procedure for Assessing Student Learning

   • Other (please fill out box below)
   • Lab Rubric