Should we spend 1M$ on advertising?| Google Interview | Data Scientist | Regression Model Mistakes
Автор: Dont Be Average
Загружено: 2025-06-13
Просмотров: 65
Описание:
Ever trained a regression model and thought — "This trend looks solid, let’s scale it up"?
Well… not so fast.
In this video, we break down a common interview question that catches even experienced data scientists off guard.
The setup: Your model shows a strong positive trend between ad spend and sales. Then a stakeholder asks,
"If we spend a million dollars on ads, can we expect our revenue to grow proportionally?"
Do you trust the model? Or are you walking into an extrapolation trap?
We’ll cover:
Why regression models have limits
The risks of predicting outside your data range
What a strong interview answer looks like
This is a must-watch for anyone preparing for data science, ML, or analyst interviews — especially with companies like Google.
Drop your answer to the question in the comments.
Would you have caught the mistake?
Like, comment, and subscribe for more real-world data science interview tips.
#datascience #interviewprep #regression #machinelearning #googleinterview #statistics #extrapolation
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