Model Drift In machine learning | Concept drift vs Data Drift in Machine Learning

Model Drift In machine learning | Concept drift vs Data Drift in Machine Learning
#ModelDrift #ConceptDrift #DataDrift
Hello ,
My name is Aman and I am a Data Scientist.
About this video:
In this video, I explain about machine learning model drift.
Below topics are explained in this video:
1. Model Drift In machine learning
2. Concept drift vs Data Drift in Machine Learning
3. Concept drift in machine learning
4. Data drift in machine learning
5. model drift data drift
6. model drift analysis
7. model drift concept drift
8. model drift python
9. model drift vs data drift
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Practical Statistics for Data Scientist By Peter Bruce - amzn.to/37wL9Y5
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Introduction to machine learning by Andreas C Muller - amzn.to/3oZ3X7T
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[@UnfoldDataScience]

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[@burakakay6632]

very usefull thanks.

[@sudhanshusoni1524]

Thanks for explaining it in very simple language. 😀

[@UnfoldDataScience]

Welcome Sudhanshu.

[@navoditmehta8833]

Thanks for introducing this new concept Aman 💯

[@UnfoldDataScience]

You're welcome Navodit😊

[@karthikharisamy5367]

what is the ideal approach to compare data drift as Historical dataset sample size is large and the production dataset sample size is less. So for data drift do we need to select sample size matching both datasets and if also will it be correct if we choose a sample will that represent the population

[@hsupadrasta]

Hi Aman, do we run some automated tests to check if the data's statistical values donot change periodically(once new data reaches 5% of original data on which the model is trained on)?

[@UnfoldDataScience]

Yes, there are many ways to do it, one way could be testing the input periodically

[@bangubhatnagar534]

Aman Sir, It's a very nice video. Sir one request is it possible can you show us the practical implementation of it.

[@UnfoldDataScience]

Sure. Thank you

[@mohankumar8523]

Very well explained

[@UnfoldDataScience]

Thanks Mohan.

[@vikashmaheshwari7200]

Thanks for Video, May I know In case of Credit Card Fraud Detection with Binary Classification, what is the possibility of Model Drift? say the Target Field is always "Fraud" vs "Not Fraud", and How we avoid the Data Drift and Concept Drift in Fraud Detection Model.

[@rvsi-qm5rn]

This is great, exactly what I was looking for. Can you do a video on how these are solved in Today’s environment? Thank!

[@UnfoldDataScience]

Cheers, thank you

[@krishnabhadke6161]

Thanks Aman for Nice Explanation !
just a Question is MLOPS Engineer involved in these processes or it is a task of ML Engineer?

[@UnfoldDataScience]

Depends on company and team

[@krishnabhadke6161]

@@UnfoldDataScience okay! Thank You Aman

[@rambabusah6689]

Dear, sir I am confuse how we start learnning data science

[@UnfoldDataScience]

Please go through videos in the channel, you will get your answers as there are so many videos available on how to start and what to learn.

[@shaelanderchauhan1963]

These terminologies give me headache so many names for the same concept and it confuses a learner. This is the Biggest Drawback I came across .

[@UnfoldDataScience]

Did it get clarified now?

[@shaelanderchauhan1963]

@@UnfoldDataScience absolutely You are next khan academy.

[@abhinavpandey2156]

jaii shree ram

[@rambabusah6689]

Please reply me

[@FaresHammadieh]

2w