Let's build your first ML app in Google Cloud Run

• automl_init

  1 0 8.7 Python

  AutoML integration on GCP

Cheers on completing this tutorial, if there are any issues, here are some troubleshooting tips: Google documentation, Check your logs, use a reference repository, Bard/ChatGPT, or just share using the comment section.

• streamlit

  255 31,506 9.8 Python

  Streamlit — A faster way to build and share data apps.

  

Having successfully deployed your model endpoint, it is now time to show the world how it works, to achieve this we build a web-interface for anyone to use. Enter Streamlit, think of it as a bridge between your data and the world, letting you present insights, perform analyses, and even collect user input with ease. It's perfect for data scientists, analysts, and anyone who wants to leverage the power of their data in a visually appealing and interactive way.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• vertex-ai-samples

  24 1,342 9.8 Jupyter Notebook

  Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

  

Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD).

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