Data Preprocessing Questions
Data transformation refers to the process of converting or changing the original data into a suitable format that can be easily analyzed and interpreted by machine learning algorithms or statistical models. It involves various techniques such as normalization, standardization, encoding, scaling, and feature extraction to improve the quality and usefulness of the data for further analysis. Data transformation helps in reducing noise, handling missing values, removing outliers, and making the data more suitable for the specific analysis or modeling task at hand.