5 Best Ways to Apply Feature Scaling in Python
π‘ Problem Formulation: When dealing with numerical data in machine learning, certain algorithms can perform poorly if the feature values are on vastly different scales. Feature scaling normalizes the range of variables, leading to better performance during model training. For instance, consider an input dataset where the age feature ranges from 18 to 90, while … Read more