What is Data Preprocessing in Machine Learning?
Data Preprocessing refers to the steps and techniques applied to raw data before training a
machine learning model. It includes tasks such as data cleaning, normalization, feature scaling, handling missing values, and encoding categorical variables. Data preprocessing ensures that the data is in a suitable format for effective model training.
