In this video, we will be building and deploying a simple image classification web app in Python using the Gradio library. In essence, it only takes 3 lines of code to build a web app using Gradio: 1) Import the libraries, 2) Create a custom function of the model and 3) Creating the web app interface by specifying the 3 input arguments (function name, input and output).
- Demo of the image classifier app https://gradio.app/g/dataprofessor/imageclassifierapp/
- Code of the image classifier app https://github.com/dataprofessor/imageclassifierapp/
- Cartoon illustration of model deployment https://twitter.com/thedataprof/status/1431268104978370561?s=20
In this video, we will provide a walkthrough on how to use this free and open source Python library known as Evidently AI to monitor your machine learning models. Particularly, I will show how you will be able to visualize model performance and identify potential data drifts. Why monitor your machine learning models? Because you can gain insights on what breaks your model (e.g. problematic features?).
Note: This video is not sponsored.
In this video, I'll provide a step-by-step tutorial on how you can write a research article online on the Overleaf platform. Briefly, Overleaf is an online LaTeX editor that allows you to create great looking article layouts whether you are writing an article, a book, a thesis, a presentation slide or even a poster and curriculum vitae!
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