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Machine Learning Internship Interview Questions
8,210 machine learning internship interview questions shared by candidates
Tell me about your projects
The take home challenge had two parts. For the first they give you a dataset (tabular data) about children's vaccinations (which ones, when they were taken) from a low resource country. The goal is to build a model that will predict which children will not complete all their required vaccinations before a certain age. The data is very messy and limited so they want to see how you deal with that too. You also need to provide a write up for next steps. For the second part of the challenge, they give you a healthcare scenario and you are supposed to imagine that you are the lead data scientist on the project and outline in 1-2 paragraphs how you would approach this project and what types of problem statements you would formulate in order to help improve the health supply chain.
Technical ones are: make a function with single user and services input, return the services that will be available to the user the conditions are as follows: some services are only available to some regions, ...
Given an ML dataset, do some analysis and build a model
One thing they asked me was to explain a challenging project I had worked on, detailing the problem, my approach, the tools and technologies I used, and the final outcome.
Most of the questions were heavily related to the details of the test case to check how well thought through my approach was.
Q: How I would plan and structure the new team based on Voi's current organizational setup?
What algorithm would you use for a specific problem they have?
What's the difference between bagging and boosting?
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