Very nice experience! Questions on 1. ML Algorithms - Linear Regression, knn, similarity search 2. Python - prime numbers, fibonacci, Merge Sort 3. SQL - basic 4. API 5. Generative AI assignment, (Chat with Images), deploying on huggingface 6. EDA assignment on data 7. Basics Questions of Data Science/ML like what is mean, median, mode etc. 8. What is deep learning, how many layers in CNN, RNN, what is learning rate and it's value 9. aware of gpt, bert, gemini models? (Problem Solving Matters)
Which platform you can recommend for MLOps? What are the advantages of Kubernetes? How can we use AirFlow?
How would you decide between different markets?
Detail your approach solving a given data science problem from end to end.
They asked me about the projects I have mentioned in my resume.
Questions on resume checking palindrome in python And some brain quizz
Explain how this system works.
Project overview and tech stack which was used, also question on tech stack.
different questions about the concept of ML. Python questions related to classes, data types and piece of code results.
Q. What is the probability of drawing four-cards in poker?
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