What are some advanced preprocessing techniques in Python for machine learning?

What are some advanced preprocessing techniques in Python for machine learning?

Some advanced preprocessing techniques include feature scaling, encoding categorical variables, and handling missing values.

Can you explain how to perform feature scaling in Python?

Sure! You can use libraries like scikit-learn to apply techniques like Min-Max scaling or Standardization.

What about encoding categorical variables? How is that done?

You can use techniques like One-Hot Encoding or Label Encoding, which are also available in scikit-learn.

How do I handle missing values effectively?

You can handle missing values by using imputation methods or by removing rows/columns with missing data.