1 easy SQL question 1 general Python question asking to write a function to convert two different data models that seemed pretty arbitrary 1 general machine learning modeling question that seemed picked out of an interviewing textbook that did not feel relevant to the position
what is EDA?
Basics machine learning questions - Overfitting, Regularization
Q: Describe Decision Tree algorithm? Q: What is WGBoost, his parameters and how to perfom it.
Tell me about yourself. What is your current and expected salary? Why do you want to join us?
Interview questions were directly related to the project you completed and presented to the group.
Questions about the machine learning pipeline, data cleaning, model selection
What specific machine learning algorithms have you used in past projects. They asked about Bayes, neuro nets, and support vector machines.
How would you debug data spilling in spark?
Write the code for Supervised machine learning problem
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