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Task: One-Hot Encoding with Meaningful Column Names Using Scikit-Learn

Task: One-Hot Encoding with Meaningful Column Names Using Scikit-Learn: a task in Terminal-Lego-15k (Harbor dataset). Write a Python script that performs one-hot encoding on categorical columns of a dataset and produces a DataFrame with properly named columns in the format OriginalColumnName…

The task

Write a Python script that performs one-hot encoding on categorical columns of a dataset and produces a DataFrame with properly named columns in the format `OriginalColumnName_CategoryValue` (e.g., `Color_Red`, `Color_Blue`, `Size_Large`).

Part of PrimeIntellect/Terminal-Lego-15k.