https://github.com/nathadriele/machine-learning-zoomcamp
The Machine Learning Zoomcamp teaches foundational and advanced ML concepts using tools like NumPy, Pandas, Scikit-Learn, TensorFlow, XGBoost, Flask, Docker, AWS, Kubernetes, and KServe. It covers regression, classification, evaluation metrics, neural networks, deployment strategies, and end-to-end projects to bridge theory and practice.
https://github.com/nathadriele/machine-learning-zoomcamp
aws classification deployment docker flask kserve kubernetes metrics metrics-visualization mlops-project neural-networks numpy pandas scikit-learn tensorflow xgboost
Last synced: 12 months ago
JSON representation
The Machine Learning Zoomcamp teaches foundational and advanced ML concepts using tools like NumPy, Pandas, Scikit-Learn, TensorFlow, XGBoost, Flask, Docker, AWS, Kubernetes, and KServe. It covers regression, classification, evaluation metrics, neural networks, deployment strategies, and end-to-end projects to bridge theory and practice.
- Host: GitHub
- URL: https://github.com/nathadriele/machine-learning-zoomcamp
- Owner: nathadriele
- Created: 2024-09-28T03:20:31.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-23T20:31:12.000Z (over 1 year ago)
- Last Synced: 2025-04-05T15:01:44.408Z (about 1 year ago)
- Topics: aws, classification, deployment, docker, flask, kserve, kubernetes, metrics, metrics-visualization, mlops-project, neural-networks, numpy, pandas, scikit-learn, tensorflow, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 286 MB
- Stars: 14
- Watchers: 1
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md