QuestionQ54
Prepare data and use feature engineering in SnowflakeA Data Scientist needs to train a supervised machine-learning model on a dataset containing multiple numeric, continuous features. During the exploration phase, the Data Scientist found that the features are approximately normally distributed, with different means and variances across features. The Data Scientist built the pipeline using Snowpark ML.
Which class in snowflake.ml.modeling.preprocessing should the Data Scientist use to produce features with zero mean and unit variance?
- A StandardScaler
- B MinMaxScaler
- C MaxAbsScaler
- D Normalizer
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