Congratulations
Introduction to Regression in R
Richie Cotton
Data Evangelist at DataCamp
You learned things
Chapter 1
- Fit a simple linear regression
- Interpret coefficients
Chapter 2
- Make predictions
- Regression to the mean
- Transforming variables
Chapter 3
- Quantifying model fit
- Outlier, leverage, and influence
Chapter 4
- Fit a simple logistic regression
- Make predictions
- Get performance from confusion matrix
Multiple explanatory variables
Let's practice!
Introduction to Regression in R
