Feature Engineering

Feature engineering is the addition and construction of additional variables, or features, to your dataset to improve machine learning model performance and accuracy. The most effective feature engineering is based on sound knowledge of the business problem and your available data sources. Feature engineering is an exercise in engagement with the meaning of the problem and the data. 

For example, you might improve a model used to estimate likely loan defaults by finding external sources of relevant data, such as local unemployment rates or housing price trends.

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