GitHub / Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Stars: 629
Forks: 112
Open issues: 1
License: mit
Language: Jupyter Notebook
Size: 5.43 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 3 months ago
Pushed at: about 1 year ago
Last synced at: about 1 month ago
Topics: automated-machine-learning, automl, concept-drift, data-preprocessing, data-stream-processing, data-streams, deep-learning, feature-engineering, hyperparameter-tuning, intrusion-detection-system, iot, iot-data-analytics, machine-learning, model-selection, python-examples, python-samples