Introduction to Preprocessing

Explore the fundamental preprocessing steps necessary for preparing raw data in machine learning. Understand feature extraction, scaling, encoding, discretizing, dimensionality reduction, and methods to handle missing values. This lesson helps you lay the groundwork to improve model quality, reliability, and performance using appropriate data transformation techniques in scikit-learn.