Aptitude questions from Time and Work, Blood Relations, permutations, probability.
Machine Learning Internship Interview Questions
8,205 machine learning internship interview questions shared by candidates
Program of linear regression python code
Solve a usecase of a client, how would you apply Machine Learning in this case
During the historical data collection period (of some given time series data about wind turbine bearing temperature), several wind turbines had generator bearing problems. Four wind turbines had generator bearing failures and replacements. The symptom of bearing fault is rising temperature beyond normal range. The task is to build the ML model to detect anomaly in generator bearing and identify wind turbines that shows generator bearing defect. You are required to submit the following: List of WT’s that are suspected to have a generator bearing defect during the data period including 4 that had change out, Result showing the reason for diagnosis, and the code associated with the aforementioned. You are then given ids for wind turbines that had NO generator bearing defect (healthy).
technical interview, which is nothing more than a rather long talk (90 min) in which you are asked about very basic concepts of data science, machine learning, software development, and some big data. It's quite easy, really.
2 online simple exercises using python programming to test the candidate ability to write a python script.
Explain your project and Ask Questions about it.
Describe your biggest project. How to deal with noise in data (NLP).
Unsupervised learning
What is the difference between the regression and clastering?
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