Shypd.aiThe largest open index of AI toolsAutoML-Implementation-for-Static-and-Dynamic-Data-Analytics is a Coding & Development tool that provides an open-source AutoML implementation for static and dynamic data analytics. It offers a tutorial for automating and optimizing machine learning algorithms, including data preprocessing, feature engineering, and model selection.
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AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics is an open-source project offering a comprehensive implementation and tutorial for Automated Machine Learning (AutoML) methods. It addresses both static/batch and online/continual learning scenarios, with a specific case study on IoT anomaly detection. The tool automates crucial steps in the machine learning pipeline, such as data pre-processing, feature engineering, model selection, hyper-parameter optimization (HPO), and automated model updating to adapt to concept drift. It serves as a valuable resource for machine learning researchers and industrial users aiming to develop optimized ML models efficiently, leveraging various static and dynamic learning algorithms, alongside optimization techniques like Grid Search and Bayesian Optimization.
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