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Categorical data can take on a limited (usually fixed) number of possible values called categories. Categorical values "label", they do not "measure". Nominal and dichotomous/binary scale types are categorical. Some people consider ordinal scale categorical too.

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How do you predict a continuous variable when all your independent variables are categorical

I am new to data science and ML. Recently I have been given a sales dataset which contains weekly sales of a fashion brand. It has information about the product like category(t shirt, polo shirt, cott …
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