AutoML

Automated machine learning, or AutoML, helps teams build predictive models with less manual experimentation by automating repetitive steps in model development. It can compare algorithms, tune parameters, prepare features, and evaluate candidate models, although domain knowledge and careful validation are still needed before deployment.