How to deploy Model using Docker Container |

How to deploy Model using Docker Container | #modeldeployment #mlops #docker #machinelearning
Topics Covered:
1. #Modeltraining - IRIS multi-classification Model
2. Create an #api using #python Flask
3. Create a Docker File
4. Build Docker file to generate a docker Image (You need docker desktop running)
5. Create and run the container using the image build in above step
6. Finally #Deploy Model using #dockercontainer
7. Test the API by sending the test data for prediction
8. Test the API using curl request and test data as csv file
9. See inside container terminal
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ashutoshtripathi.com/2023/03/...
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[@AshutoshTripathi_AI]

Live Demo on Kubeflow Pipeline Building : ua-cam.com/video/u1yxFxje_ts/v-deo.html

[@iandniells9681]

Thank you so much for the amazing content, very insightful and useful

[@AshutoshTripathi_AI]

Welcome. Glad you liked.

[@shwetabhat9981]

Thank you so much sir . Your content is just amazing . Great to see MLops content which is so rare . Keep going 😊

[@AshutoshTripathi_AI]

Thank you 😊

[@TejasEkawade]

Thank you very much for this tutorial! I was able to build a docker image and then create a container to run the application on my local system ✌

[@AshutoshTripathi_AI]

Welcome.

[@user-sd4rv1ps5y]

Well Explained... Very much insightful for docker beginners... Thank You @Tripathi

[@AshutoshTripathi_AI]

You are welcome

[@pzende]

Here we go 🎉

[@AshutoshTripathi_AI]

Thank you✌️

[@AmanSharma-jm2bl]

Sir next video ci- cd pipeline may banana

[@AshutoshTripathi_AI]

Ok will try.