Data Transformation in Machine Learning: Best Practices, Benefits, and Challenges

Data transformation is a crucial step in machine learning (ML) that involves converting raw data into a format suitable for analysis. Properly transformed data improves model performance, enhances interpretability, and ensures meaningful insights.