Databricks Certified Machine Learning - Associate
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Discuss the importance of feature engineering in the context of machine learning models. Explain how the choice of feature engineering techniques can impact the performance of a model and provide examples of techniques that can be used to improve model performance.
A
Feature engineering is crucial as it transforms raw data into meaningful features that can improve model performance.
B
Feature engineering is not necessary as models can learn from raw data directly.
C
Feature engineering should only be used for linear models.
D
Feature engineering is only necessary for large datasets.