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.