Q1. Describe the multiple linear regression.
Datos Interview Questions
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For the first round audio interview: 1. multicollinearity 2. decision trees 3. end-to-end method for deep learning on a genomic dataset For the video interview: 1. what is the most challenging aspect of data science projects for you 2. describe projects on resume 3. how do you communicate
Asked my ability to complete the tasks of the job, how I would complete them. Why are man hole covers round?
15 mins with an HR Recruiter followed by 1 Hour Technical Interview with 3 Data Scientist's - Case Studies on Sales Prediction. The interviewers were knowledgeable and the questions they asked were relevant to the intern job requirements.
We are considering adding in a feature where instead of a direct estimate of 5 min, instead displaying a range of say 3-7 min. How would you conduct this experiment? How would you know your results were significant?
In three interviews I did not get a single technical question.
You need to collect weather data from across the United States, where would you place the sensors?
Just a few tech questions relating to machine learning and statistics
Technical test: Related to technical task that was performed and some moderation in that. Related to advance excel and sql queries
What is the difference between Supervised Learning and Unsupervised Learning. Give one example of each.
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