data preprocessing

Artificial Intelligence (AI) relies heavily on data. But when that data contains bias—whether due to history, culture, or collection methods—the AI system inherits and amplifies …

To handle missing data, you first need to detect it, often by using functions like .isnull().sum() in Python’s Pandas library to count empty values. After …

Feature engineering is the process of using domain knowledge to select, transform, and create new variables (called “features”) from raw data. The goal is to …