The process of selecting the best model for a dataset
The process of creating new features from existing data
The method of evaluating model performance
The technique of tuning hyperparameters
Questions & Step-by-Step Solutions
What is feature engineering?
Step 1: Understand what features are. Features are the individual measurable properties or characteristics used in a model.
Step 2: Look at your existing data. Identify the features you already have.
Step 3: Think about how you can create new features. This can be done by combining existing features, transforming them, or extracting useful information.
Step 4: Create the new features. This could involve mathematical operations, aggregating data, or encoding categorical variables.
Step 5: Test the new features in your model. See if they help improve the model's performance.
