What are some advanced data preprocessing techniques?

What are some advanced data preprocessing techniques I should know about?

Advanced data preprocessing techniques include feature scaling, encoding categorical variables, and handling missing values.

Can you explain feature scaling and why it's important?

Feature scaling standardizes the range of independent variables, which helps improve the performance of machine learning algorithms.

What methods can I use for encoding categorical variables?

You can use techniques like one-hot encoding, label encoding, or target encoding depending on your data and model.

How do I handle missing values effectively?

You can handle missing values by using imputation methods, such as mean, median, or mode, or by removing rows or columns.