I personally think that the get_dummies method has an advantage in its ability to be implemented very easily. There is no single method that works best for every problem or dataset. Similarly, there are 10 other types of encoding which we have not looked at: In this article, we saw 5 types of encoding schemes. Here is the list of the 15 types of encoding the library supports:ĭata_freq = data_freq.map(fe_).round(2) Method 1: Using Python’s Category Encoder LibraryĬategory_encoders is an amazing Python library that provides 15 different encoding schemes.
We will also refer to a cheat sheet that shows when to use which type of encoding. Ordinal: there is some order between values.Many algorithm’s performances even vary based upon how the categorical variables are encodedĬategorical variables can be divided into two categories:.Most machine learning algorithms cannot handle categorical variables unless we convert them to numerical values.
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