cm011 - April 30, 2017
Overview
- Review the major goals of statistical learning
- Explain the difference between parametric and non-parametric methods
- Introduce linear models and ordinary least squares regression
- Demonstrate how to estimate a linear model in R using
lm()
- Demonstrate how to extract model statistics using
broom and modelr
- Practice estimating and interpreting linear models
- Demonstrate the use of logistic regression for classification
- Identify methods for assessing classification model accuracy
What you need to do
- Install the
titanic package using the command install.packages("titanic"). We will be using this package in-class next time
This work is licensed under the CC BY-NC 4.0 Creative Commons License.