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(Solved): do it in python plss help me fill the space I will adjust it according my dataset.. this is ...



Define an instance of the Sklearn ColumnTransformer class that will apply our Standardization class to ALL our features for X

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We can easily convert both of these NumPy arrays back into DataFrames as the column order has remained the same!

do it in python plss help me fill the space I will adjust it according my dataset.. this is the link of the dataset https://archive.ics.uci.edu/ml/datasets/Forest+Fires

Define an instance of the Sklearn ColumnTransformer class that will apply our Standardization class to ALL our features for X_train and X_test. variable after_pipe. 2. Using after_pipe call the fit_transform( ) method and pass our train data X_train. Store the output into the variable X_train_scaled. 3. Using after_pipe call the transform( ) method and pass our test data X_test. Store the output into the variable X_test_scaled_df. ]) Python ]) We can easily convert both of these NumPy arrays back into DataFrames as the column order has remained the same!


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Here's an example of how you could complete the TODO 14 task in Python using the information given in the description:# TODO 14.1from sklearn.compose
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