What is the importance of feature engineering in Data Science?
The question is about data science
Answer:
Feature engineering is the most critical part of Data Science – it adds new features from raw data that provide better performance for the model. The selection and transformation of variables done by Data Scientists enhance preciseness and predictive power in the machine learning models. Sometimes, domain expertise and intimacy with data are necessary to perform proper feature engineering.
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