Question: Why is it important to convert all data to numeric data before using machine learning algorithms from the sklearn package? Categorical data can cause overfitting

Why is it important to convert all data to numeric data before using machine learning algorithms from the sklearn package?
Categorical data can cause overfitting in machine learning models
Numeric data is easier to work with than categorical data
Sklearn can handle categorical values and missing values
Sklearn can only handle numeric data

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