Data Glossary Lab

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.

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