Categorical data appears in almost every dataset. It represents values such as colors, cities, or product types. These values are not numerical, so machine learning models cannot process them directly. This is why encoding becomes an essential step in data preparation. Choosing the right encoding technique can improve model performance and prevent misleading results. If you are beginning your...