1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model 2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100
Describe your proudest project a couple of data science related tech questions statistics questions and coding quetions project deepdive And then pretty much it---I asked the interviewer a couple of questions back.
Describe your data manipulation process
Standard ML questions + one leetcode easy/medium + simple product sense (about AB testing)
Conocimientos específicos sobre herramientas como Power BI, Python, Tableau
Write an intermediate SQL query based on some sales data tables. Write a function in python to calculate the z score of an array.
Comment juger vous vos connaissances en Python sur une échelle de 1 à 10 ?
Why are you interested in Data Science and how do you plan to grow in this field?
Previous Experience Dealing with huge data More technical nitty-gritty into the projects explained
Mostly about Projects from your Resume
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