https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon
amazon-web-services autogluon automl boosting-algorithms data-science deep-learning ensemble-methods exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning machine-learning-algorithms model-building model-evaluation python stacking
Last synced: 20 days ago
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This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
- Host: GitHub
- URL: https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon
- Owner: ChaitanyaC22
- License: mit
- Created: 2023-01-01T04:32:32.000Z (over 2 years ago)
- Default Branch: chai_main
- Last Pushed: 2023-01-24T14:46:37.000Z (over 2 years ago)
- Last Synced: 2025-03-27T07:15:34.887Z (about 1 month ago)
- Topics: amazon-web-services, autogluon, automl, boosting-algorithms, data-science, deep-learning, ensemble-methods, exploratory-data-analysis, feature-engineering, hyperparameter-optimization, jupyter-notebook, machine-learning, machine-learning-algorithms, model-building, model-evaluation, python, stacking
- Language: HTML
- Homepage:
- Size: 2.05 MB
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 0