The encoding methods used are onehotencoder and quantiletransformer.
What was onehotencoder used for?
OneHotEncoder was used to encode categorical columns with a minimum frequency of 15 in the dataset.
What is onehotencoder?
OneHotEncoder is a method used for encoding categorical features into a binary vector representation. It creates a binary column for each category, where only one column has a value of 1 and the rest have a value of 0. This encoding technique is useful for machine learning algorithms that cannot work directly with categorical data.