Data Glossary Lab

Feature engineering is the art of sculpting raw data into the exact shape your machine learning model craves.

Feature selection is the process of selecting a subset of features from the dataset that are the most relevant for predicting the target variable. A smart feature selection process is especially important for large datasets since it reduces model complexity, overfitting, and computational time, and increases the model accuracy.