What are some real-world examples of feature engineering?
An example of an AI chatbot conversation about feature engineering in real-world applications.
What are some real-world examples of feature engineering?
Feature engineering is crucial in machine learning. For example, in a housing price prediction model, features like square footage, number of bedrooms, and location are engineered from raw data.
Can you give me another example?
Sure! In a credit scoring model, features might include payment history, credit utilization, and length of credit history, which are derived from raw transaction data.
How do you decide which features to engineer?
Choosing features often involves domain knowledge, exploratory data analysis, and understanding the model's requirements. It's about finding the most predictive variables.
What tools can I use for feature engineering?
Popular tools include Python libraries like Pandas and Scikit-learn, as well as platforms like Featuretools for automated feature engineering.
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