Data Cleaning and Preprocessing: The First Step in Data Science
Introduction In the world of data science, raw data is rarely perfect. It often comes with missing values, inconsistencies, and noise that can lead to inaccurate results. This is why data cleaning and preprocessing are considered the most critical steps in the data science pipeline. Without proper preparation, even the most advanced machine learni