Describe a project you did
Data Science Interview Questions
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The case study tested topics in data extraction, transformation, and querying.
A colleague hands you a model they claim is 99% accurate for a classification task. How do you validate that?
Final round interview was quite difficult. Was asked to derive Fourier transforms and various probability distributions form scratch and speak about physical interpretation of various parameters (in addition to being grilled on over 20+ machine learning topics)
How will you improve conversion?
None really. All was expected
Quantify in number of years, the amount of experience you have working with machine learning algorithms
They will mainly focus on what is written on your Resume and questions will be based on that
They asked about my project.
How do you evaluate a classification model? Which metrics to use
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