with an existing python code. asking for debug, changes, add tests.
Sr Data Scientist Interview Questions
3,514 sr data scientist interview questions shared by candidates
Process: Life Story, Simple Pandas Exercise, 2 "technical" conversations, Simple python OOP exercise
1st round of phone interview, then working on data set and then onsite.
algorithm problem, probability problem and machine learning problem
Basic SQL questions, nested list and tuple manipulation in Python
A/B testing, data cleaning and modeling
most impactful project you've done
The interviewer himself was not clear about what he was asking
How max pooling is different from average pooling?
1. Fitment round : Tell me about one of your best projects? What are the machine learning/Deep learning algorithms you have used in this project? What are the Hyperparameters used in this model? 2. Data Science Round What is the difference between Gradient Descent, Stochastic Gradient Descent & mini-batch Gradient Descent? What is Adam's optimizer? How max pooling is different from average pooling? How LSTM is better than RNN? What is the loss function used in logistic regression? 3. Coding Round Code for P-Value given the coin toss scenrios.
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