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GitHub topics: machine-learning-lifecycle

MGTheTrain/ml-ops-ftw 📦

Repository showcasing ML Ops practices with kubeflow and mlflow

Language: HCL - Size: 1.69 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

machine-learning-apps/ml-template-azure 📦

Template for getting started with automated ML Ops on Azure Machine Learning

Language: Python - Size: 208 KB - Last synced: 20 days ago - Pushed: almost 2 years ago - Stars: 125 - Forks: 84

4pygmalion/mlflow

Easy to deploy MLFlow(machine learning lifecycle system)

Language: Shell - Size: 17.6 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

abhipatel35/ML-Regression-Lifecycle

Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.

Language: Python - Size: 27.3 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

AllieUbisse/mlflow_gcp

This Repository is intended to help automate the MLFLOW with GCP setup. Feel free to use it and follow the README directions.

Language: Shell - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0