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π¬ Ask Your Legal Query NowAutoML automates the process of building machine learning models, including data preprocessing, training, and tuning.
Startups, analysts, and developers who want to build ML solutions quickly without deep data science expertise.
Google Cloud AutoML, H2O.ai, Microsoft Azure ML, and DataRobot are popular providers.
Yes, AutoML supports various use cases including classification, regression, time series forecasting, and NLP.
Yes, most platforms include automatic feature selection, transformation, and scaling.
AutoML uses metrics like accuracy, precision, recall, and ROC-AUC to select the best models.
Many platforms provide feature importance and explainability tools like SHAP or LIME for transparency.