What is feature engineering in machine learning?
An example of an AI chatbot conversation about feature engineering in Python for machine learning.
What is feature engineering in machine learning?
Feature engineering is the process of using domain knowledge to select, modify, or create features that improve model performance.
Can you give me some examples of feature engineering techniques?
Sure! Common techniques include normalization, one-hot encoding, and creating interaction features.
How do I implement one-hot encoding in Python?
You can use the pandas library's get_dummies() function to easily apply one-hot encoding to your categorical variables.
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