The process of selecting and transforming raw data into meaningful inputs that AI models can learn from effectively. Like preparing ingredients before cooking to bring out the best flavors.
For predicting house prices, feature engineering might combine 'bedrooms' and 'bathrooms' into 'total rooms' or calculate 'price per square foot'.
These services provide tools and platforms to facilitate data preparation and feature engineering, allowing users to transform raw data into formats suitable for machine learning models.