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end-to-end-ml-workflows

Here are 2 public repositories matching this topic...

Karthi-DStech / End-to-End-MLOps-Training-for-Insurance-Claims

The "Insurance Claims MLOps Lifecycle Automated Pipeline" GitHub project offers an efficient solution for insurance claim processing. Leveraging Azure services, it covers data engineering, model development, MLOps integration, deployment, and application. Automated pipelines streamline workflows, ensuring robust, scalable production environments.

deployment microsoft-azure mlops end-to-end-ml-workflows

Updated Jul 25, 2024
Python

abhipatel35 / Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification

Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.

python random-forest scikit-learn data-preprocessing iris-dataset automated-machine-learning classsification descision-tree machine-learning-pipeline dimentionality-reduction end-to-end-ml-workflows

Updated Feb 14, 2024
Python

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