Choose you favourite ML algo/model (went for SVMs). Then various in-depth questions such as why it is, kernels, etc.
Data Scientist Internship Interview Questions
40,359 data scientist internship interview questions shared by candidates
coding questions: sorting, searching, some data structure and complexity data science questions: test case, ML algorithms, feature engineering, basic statistics
Teamwork and communications between stakeholders.
DNA Programming
Wenn ich eine Menge vorgersagen wollte (bspw. die Anzahl verkaufter Äpfel), welchen Algorithmus könnte ich bspw. verwenden und welche Verteilung sollte ich zugrunde legen.
Given a tabular Dataset, how would you do an EDA
How do you think you would like to work for a not-for-profit organization?
How would you join and summarize these tables? If you had an app that recommends restaurants based on customer reviews (think yelp), how would your app make recommendations for new restaurants (for which there would be no reviews)?
team leaders formed by mostly unrespectful young people who lack respect for seniority and different work styles
There was a dataset example and the questions were around that problem. For example, the type of ML algorithm appropriate for that dataset, type of metrics should be used, supervised unsupervised and many other details. The questions were reasonable and the timing was also good. I ran out of time for the programming section. It should be easier for a very experienced programmer. The programming part required me to have a lot of practice beforehand and be very fast to develop my approach and implement it. Use Hackerrank for practice and preparation. I believe it can be very helpful.
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