What is the purpose of data preparation in machine learning?
The purpose of data preparation in machine learning involves cleaning, transforming, and organizing raw data to make it suitable for analysis and model training. This process includes data cleaning, feature selection, normalization, and handling missing values to ensure accurate and reliable machine learning models.