Azure Wheel Helpers
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Support Tickets Classification | 128 | 3 years ago | 4 | mit | Python | |||||
| This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en | ||||||||||
| Mlops Best Practices | 23 | 10 months ago | mit | Jupyter Notebook | ||||||
| Practical guide to build end-to-end machine learning pipeline and deploy your model in production, | ||||||||||
| Coderepo | 8 | a year ago | 7 | apache-2.0 | Jupyter Notebook | |||||
| Code for all the projects I create. | ||||||||||
| Used Phone Price Prediction Project | 8 | 6 months ago | Jupyter Notebook | |||||||
| This project uses machine learning to predict the prices of used phones based on various features like brand, operating system, and new price. The model is built using Python and Flask, and deployed as a web app on Azure. | ||||||||||
| Azure Wheel Helpers | 7 | 4 years ago | bsd-3-clause | Shell | ||||||
| Please use cibuildwheel instead! | ||||||||||
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