Label Encoding
Label Encoding is a process of converting categorical data into numerical form that can be used by algorithms to improve predictions. In this process, each unique category is assigned a unique integer value. Label Encoding is useful when the categorical data has some kind of order or hierarchy. For example, in a dataset of T-shirt sizes, 'Small' can be assigned a value of 0, 'Medium' can be assigned a value of 1, and 'Large' can be assigned a value of 2. This allows algorithms to understand the relationship between the categories and make better predictions. However, it is important to note that Label Encoding should not be used when there is no order or hierarchy in the categorical data, as it can lead to incorrect predictions.
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