14. End to End MLOps Portfolio Project | MLOps | DVC Pipeline | MLflow

[@cassioandrade6233]

Awesome playlist!

[@DataThinkers]

Glad you liked it!

[@idreesademola9458]

You are my best teacher, however I would love it if you could teach deep learning and generative AI

[@DataThinkers]

Sure

[@idreesademola9458]

@DataThinkers we are expecting your uploads

[@idreesademola9458]

Please can you share your social media contact like Whatsapp Facebook etc

[@SowmyaRao-d9g]

Very well explained. Can you please put a video on end-to-end ML project to better understand how everything works in a corporate setting. That would be very helpful!!

[@regunanthan4631]

Great Content!

[@Ai_frontier_corps]

Very Helpful

[@Manish_1176]

Thank you so much bro for this informative video. But i have one doubt that we didn't perform scaling on dataset before training? Could you please explain this. Thank you

[@DataThinkers]

First reason: If you're working with algorithms that rely on distance or gradient descent (e.g., KNN, SVM, neural networks), then yes, scaling is important. For decision trees or for any rule-based algorithms, scaling may not be necessary. Second reason: For simplicity.

[@Manish_1176]

@@DataThinkers we used KNN and SVM also in exp2 and exp3,still we dont perform scaling?

[@mumaizpeer4889]

sir can i use this as a final year project?? please make a video to deploy this project sir

[@DataThinkers]

Yes, you can follow this approach to create your final year project. You may select another dataset for ML, NLP, or DL, and try to create a project by following this project flow.

[@SowmyaRao-d9g]

Also is this end of the playlist?

[@DataThinkers]

No

[@ayanabhkakati9831]

Sir can you show it on Azure

[@DataThinkers]

👍