Tag: Encoding

CatBoost, short for Categorical Boosting, is a powerful machine learning algorithm that excels in handling categorical features and producing accurate predictions. Traditionally, dealing with categorical data is pretty tricky— requiring one-hot encoding, label encoding, or some other preproces...

Categorical variables are a challenge for Machine Learning algorithms. Since most (if not all) of them accept only numerical values as inputs, we need to transform the categories into numbers to use them in the model. By one-hot encoding them, we create a really sparse matrix and inflate the numb...