In real-world scenarios, data contains both numerical and categorical features. In this mind-map, we have discussed various types of categorical data and how to convert them to numerical data using various encoding methods and achieve good model performance.
Computers do not understand text data, so it is important to convert it to numbers. Thus, we need to convert categorical text data to numbers using encoding methods so that the machine learning algorithm can process them.
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