Transforming Categorical Data: A Practical Guide to Handling Non-Numerical Variables for Machine Learning Algorithms.

There are a number of methods to cope with categorical information, often known as label information, in information science: One-hot encoding Label encoding Dummy encoding Binning Depend Encoding Frequency Encoding Goal Encoding The suitable approach will depend upon the particular information and the targets of the evaluation. It is necessary to notice that some algorithms […]