Machine Learning

Feature scaling is the process of normalizing or standardizing the range of independent variables (features) in a dataset. It ensures that no single feature dominates others due to differences in magnitude, which can significantly affect the performance of many machine learning algorithms. Why is Feature Scaling Important? Consider a dataset with two features: Age: ranges […]