Explain linear regression and a problem on probability
Machining Interview Questions
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In the technical, they gave me a problem and had me walk through a machine learning example from end-to-end, explaining decisions as I went.
Design a machine leaning pipeline that distinguish high value customers.
A classification data science challenge.
Dealing with a tough situation
How to handle many columns is data best?
¿Qué es el overfitting? Tipos de métricas en ML Define qué es un RAG
In the presentation round, the interviewer asked questions about the project build during the hackathon , its technical details, what tech stacks used , and each persons individual role in the project
Given a hotel dataset, predict the prices and rate of purchase
Q: What attributes are important for a recommender system based on the Expedia purpose.
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