Pre-processing techniques are used to prepare data in Python, and there are many different techniques you can use. Some common ones you might talk about include:
Normalization - In Python, normalization is done by adjusting the values in the feature vector.
Dummy variables - Dummy variables is a pandas technique in which an indicator variable (0 or 1) indicates whether a categorical variable can take a specific value or not.
Checking for outliers - There are many methods for checking for outliers, but some of the most common are univariate, multivariate, and Minkowski errors.
