Analyze and provide insights (plots, counts, etc.) for a synthetic hospital dataset (~25 columns and 70K rows]
Ml Engineer Interview Questions
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Describe the algorithm for a kNN model
Explain the difference between supervised and unsupervised learning. How do you handle imbalanced datasets? Can you explain the concept of overfitting and how to prevent it?
How do you develop reading a huge dataset in python? The question emphasis was about how parallelize the process.
Q: What coding languages are you familiar with?
What is your weakness in work?
can random forest be used for regression?
No questions asked, but the interviewer told me the position was filled. Why didn't she tell me in advance via email?
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