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Question 1

You are training a machine learning model using RAPIDS cuML and need to ensure that all numeric features are standardized for better model performance.
Which of the following is the best approach for scaling data using RAPIDS?

df_scaled = df / df.max()

df_scaled = (df - df.min()) / (df.max() - df.min())

scaler = cuml.preprocessing.StandardScaler()

df_scaled = scaler.fit_transform(df)

df_scaled = df.apply(lambda x: x / np.linalg.norm(x))

Correct Answer

Correct Answer:

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