1st interview: Python and Machine learning algorithm questions 2nd interview: Statistics questions 3rd interview: Solve 2 case studies

For linear regression, how do you know what you are predicting is correct for continuous value input. Why choose lasso / ridge, advantages / disadvantages of each Advantages of vectorizing

1. sql based q's for which the related dataset is not provided. 2. build a predictive model for imbalanced dataset. The documentation related to the questions was incomplete with several errors in it. 3. technical assessment interview conducted by people with degrees in management and social sciences 4. broad open-ended assessment questions with no focus. 5. Be prepared to answer more than 5 broad open ended technical Qs and analyse a dataset size in megabytes. 6. Raising questions about the incomplete technical assessment will not be taken in good spirit by both the HR and recruitment team. Most likely, you'll get an answer, "others were able to solve the problems, so you should also be able to solve it." 7. If you ask for a post interview feedback, you will not be given one.