5.5.4 Dealing with interactions in multiple regression.5.5 Using scatter plots to show relationship between continuous features and targets.5.4.3 Other ways to display categorical data.5.4 Visualization for describing results.5.3.2 Using bar graphs to visualize distribution of categorical data.5.3.1 Using histograms to see distributions of numeric data.4.3.2 Comparing three regression models.4.3 Linear regression to multiple regression - When there’s more than one feature.4.2.2 Looking at the regression formula.4.2 Understanding how a regression model is fit.4.1 A quick note on the structure of this lesson.3.1 Data structures in R - the data frame.2.5 Slicing and dicing - data frame manipulation.
