How would you explain linear regression to a non-technical person?
Data Sciences Interview Questions
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Array Generator. Among all such arrays, return the lexicographically smallest one. If there is not an array that satisfies the conditions, then return an array with the single element -1.
just some simple SQL querying and Python string manipulation
Q: Name one situation where you experienced conflicts
Here is one of the questions. Split a list into two lists, called a and b. There is no joint element between a and b, and each list should contain different elements. The sum of a's elements should be bigger than the sum of b's elements. The sum of a's elements should be as big as possible while the number of a's elements should be as few as possible.
The question was a jupyter notebook that had a preloaded dataset into it. The dataset was not cleaned and need lots of pre-processing done on it. You were tasked with building a model and explain it.
"How would you explain the advantages of WatsonX to a non-technical client?" "Can you walk us through how you would handle a client objection during a technical sales pitch?" "What are the key differences between WatsonX and competing AI platforms like AWS SageMaker or Azure AI?"
Q: What is your proficiency in SQL and Python? Q: What is the current macroeconomic trend and how does that affect AMEX?
1st stage is a non-technical interview with a manger 2nd stage assignment 3rd stage techinical interview with data scientist 4th psychometric test (4 kinds including math, reasoning, personality and verbal test)
Explain how to handle high cardinal categorical variables
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