1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Senior Data Scientist Interview Questions
3,509 senior data scientist interview questions shared by candidates
In depth about model performance metrics of supervised machine learning models.
They mainly asked about my experience.
They asked me what did I solve/fix with a project outcome. And they presented a Python code and asked me to find 8 mistakes in the code.
tell me about yourself, challenging project done recently, and why ASML?
Perchè vorresti lavorare da noi?
Use case su un algoritmo di scoring creditizio in ambito micro-lending
Round 2: Many questions and cross questions on your approach to the case study - why would you choose this data, what else could you do. Other what-if scenarios on this. In modelling, fundamental questions of how some model works - not superficial level answers but demanded thorough answers.
You will be checked with your basic understandings of SQL. You will be given two tables with records and you have to give the no of output for the joins (left, inner, right).(SQL)
Ask about my availability every time only
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