Pre-Model Workflow and Pre-Processing

In this chapter we will see the following recipes:

• Creating sample data for toy analysis
• Scaling data to the standard normal distribution
• Creating binary features through thresholding
• Working with categorical variables
• Imputing missing values through various strategies
• A linear model in the presence of outliers
• Putting it all together with pipelines
• Using Gaussian processes for regression
• Using SGD for regression