Common techniques for feature engineering include:
One-hot encoding: Converting categorical variables into binary vectors.
Scaling and normalization: Rescaling numerical variables to a common range.
Feature selection: Selecting the most informative features for the model.
Dimensionality reduction: Reducing the number of features while preserving relevant information.
Engineering new features: Creating new variables based on domain knowledge or insights.