6. Statistical Models for Data Science

Topics, Class Notes and Code		Assignments and Side Readings
Linear regression models Model structure Parameter estimation Applications of linear regression Case studies Logistic regression model Model structure Estimating coefficients Prediction vs classification Case Studies Notes and code Linear regression model [HTML] [PDF] Logistic regression model [HTML] [PDF]		Optional Reading Assignments Read relevant sections of Regression Models for Data Science in R [link] Written Assignment (Part II): Use the data set in the last week assignment to perform a regression analysis. After next week's cross-validation, you will have a comprehensive statisticcal report on regression modeling. Project guideline (updated): [HTML] [PDF]