1. what is random forest? 2. given a dataset, what would be the output of the k-means algorithm? 3. what is a CNN? 4. why do you want to join walmart? 5. suppose you roll a die and earn whatever face you get. what is the expected return? 6. now suppose you have a chance to roll a second die. if you roll, you forfeit your earnings from the first round. when should you roll the second time?
Explain your resume projects and may ask you a question on pandas or numpy
There Asked me about machine learning algorithms and some fundamental concepts of NLP and DL
Karat ML questions, like imbalanced data, AUROC, neural network activation functions.
probability, distributions, normalization, models, coding
Difference between WHERE and HAVING clause
(R2) Discussion on linear regression, l1/l2 loss, overfitting, weight distribution.
Why did we hire you? What's your plan for the future?
previous working experience relating data
Wie würdest du bei diesem Beispiel vorgehen?
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