Dataset with EDA and potential ML based solution. Very typical Data scientist questions, EDA/clustering/recommendation.
Learning Technology Specialist Interview Questions
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Take a 50 question logic test in 20 minutes.
Some machine learning questions (not resume related, more from basic concepts like parameter settings, what should you do if you see XXX happened) and one data structure problem to achieve some functions
Implement bagging with the given functions
Cuales son tus metas a largo plazo?
Implement K-means from scratch, Basic ML questions etc
What's the difference between ROC and AUC?
What is regularization? Why is it important? How would you explain logistic regression to someone who didn't know it? What is the difference between optimizers like Adam and SGD with momentum.
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