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Using the sklearn wine data set, develop a random forest model first. What kind of feature engineering will be required for modeling this problem? Then,

Using the sklearn wine data set, develop a random forest model first.

What kind of feature engineering will be required for modeling this problem? Then, use k-fold cross-validation for a random forest classifier model again.

(Use Jupyter notebook for Python coding)

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