What is feature engineering and what are common high-impact techniques?

Feature engineering transforms raw data into signals models can learn. High-impact techniques: - Aggregations (counts, rolling windows) - Encoding categoricals (one-hot, target encoding) - Text features (TF-IDF, embeddings) - Interaction terms Measure impact with validation and watch for leakage (features that contain future information).