Agile familiarity, Lambdas, use cases of python list vs dict. ML , data engineering (imputation and normalization of data) , data science(analysis and development)
Jr Data Scientist Interview Questions
1,122 jr data scientist interview questions shared by candidates
Explain precision and recall in ML.
Che angolo si forma tra le lancette delle ore e dei minuti alle 3.15?
What are you most passionate about?
build classification model based on clients data
They send me a data set of urls the task 1 was to check the working and non working urls 2 Extract features from the dataset then train a classifier on this datasets 3 The script should be working from web page 4 Build a micro service api to contain your web page 5 Then use docker containers for deployment 6 Use your credit card to register free teir aws account and deploy the api on aws elastic containers 7 finally the code you write is part of your application and you are not allowed to upload it to open source project on github for example
Questions around programming experience, cloud experience, ML/AI/Analysis experience. I would highly recommend you review and really understand your projects and how they worked, what they did, what you used and what did it achieve. They will also do follow up questions based of your responses, be prepared to improvise and talk in detail. E.g. You mentioned that you used regression analysis, this is quite a broad topic, what type of regression analysis did you use exactly?
Do you have cloud and big data experience?
General statistics questions such as what is a mean, a standard deviation, how to compare two distributions, how to study a time series etc
What is gradient descent and how its work ??
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