USING PYTHON PLEASE

Create the preprocessing pipelines for both numeric and categorical data that does imputation, scaling and ONeHotEncoder to the appropriate columns. Use mean strategy for numerical imputation and most frequent for categorical imputation Use MinMaxScaler for data scaling. Enable drop first method in the OneHotEncoder constructor [] Implement Column Transformer for both numerical and categorical columns and assigned to a variable called preprocessor []