What are some effective case studies in feature engineering?
Feature engineering is crucial for improving model performance. One notable case study is the use of feature engineering in the Netflix recommendation system, where they created features based on user behavior and preferences.
Can you give me another example?
Sure! In the Kaggle competition for predicting house prices, participants engineered features like the age of the house and the total square footage, which significantly improved their models.
What tools are commonly used for feature engineering?
Common tools include Python libraries like Pandas and Scikit-learn, as well as feature engineering platforms like Featuretools.
How do I know which features to engineer?
Start by analyzing your data for patterns and correlations. Domain knowledge can also guide you in identifying relevant features.
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