Statistical and Machine Learning Methods

(3 Credit Hours) · Undergraduate

The course covers and Introduction to Data Science and Study Design; Techniques in Exploratory Data Analysis; Two sample comparisons for continuous variables; Comparing three or more means using ANOVA. An introduction to inference in simple linear regression; Residual diagnostics for testing regression assumptions; Basic concepts in machine learning and an introduction to classification trees.