How do you think the autodriving affect the claim? How does the autodriving affect the insurance? How to handle multicollinearity? Describe the process of making a model? What is the difference between random forest and decision trees? What is the difference between bagging and random forest? Describe a teamwork project. What is the difference between statistical models and machine learning models, how to choose the right one.
1. P-value 2. General Python questions 3. Insurances pricing questions
Asked questions about interest on cv and leadership experience.
Wie waren deine letzte Projekte? Was waren die Herausforderungen?
1. How would your previous employer describe you 2. your strength and weakness 3. if you have two project due at the same time, how would you handle them 4. explain supervised learning and unsupervised learning 5. explain overfitting 6. explain cross-validation 7. penalties in lasso regression 8. explain object-oriented programming 9. your project experience
It was mostly about projects, python
describe p value, type one type two errors
How would you handle missing vaues?
Explain what is random variable.
They asked me a case study about how I would evaluate the metrics of a model deployed in a healthcare setting. They also asked HR questions, like my salary expectations and other things like that.
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