1. The machine Finding out deal sklearn calls for all categorical variables in numeric type. As a result, we need to convert all character/categorical variables to generally be numeric. This can be achieved applying the next script. In sklearn, There may be now a perform for this stage.
Suppose you wish to transform categorical variables into dummy variables. It is different towards the previous illustration because it produces dummy variables instead of convert it in numeric type.
Python with its thorough library also provides interpreters readily available for numerous running programs allowing to operate different code over distinctive devices.
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Jupyter is similar to markdown in R. It is useful when you need to present your perform to others or when you must make in depth project report as it could possibly Mix code, output, terms, and graphics.
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