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Brandon WohlwendConverting Categorical Data into Numerical Form: A Practical Guide for Data ScienceIn the evolving landscape of data science and machine learning, the importance of appropriately handling different types of data has never…Jul 16, 20231Jul 16, 20231
Hans Christian EkneinTowards Data ScienceRobust One-Hot EncodingProduction grade one-hot encoding Techniques in Python and RApr 261Apr 261
Paula LC3 ways of encoding your data in PythonEncoding categorical data is a very common task in Machine Learning (ML) and Data Analysis that can be approached in a few ways, depending…Aug 1
Haden PelletierinTowards Data ScienceCyclical Encoding: An Alternative to One-Hot Encoding for Time Series FeaturesCyclical encoding provides your model with the same information using significantly fewer featuresMay 33
Brandon WohlwendConverting Categorical Data into Numerical Form: A Practical Guide for Data ScienceIn the evolving landscape of data science and machine learning, the importance of appropriately handling different types of data has never…Jul 16, 20231
Hans Christian EkneinTowards Data ScienceRobust One-Hot EncodingProduction grade one-hot encoding Techniques in Python and RApr 261
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Anna PershukovaToo many categories: how to deal with categorical features of high cardinalityHave you ever tried to one-hot encode categorical variable with lots of different values when your dataset is of humble size?Nov 10, 2020
