1. What do you know about dimensionality? Do you know about PCA? 2. What are activation functions? Which one would be preferred in the case of binary classification? 3. Questions about SQL CRUD and join queries
Data Science Intern Interview Questions
10,888 data science intern interview questions shared by candidates
How would you monitor bias in your ML models?
You have a dataset containing information about customers, including demographic data (age, gender, income), transaction history (amount spent, number of purchases), and other relevant metrics. How would you approach building a predictive model to forecast future customer behavior, such as the likelihood of making a large purchase or churn risk?
Walk us through a project. What statistical methods did you use? How did you do feature engineering? How did you decide which features to use? How would you handle a conflict?
It was a coding assessment
When was a time that a project did not go to plan and what would you do differently?
talk about project on resume
Estimate the market for Botox; while estimating, do the numbers seem right/make sense?
Two drugs, one with marginal increase over current treatments in phase III trials, and one with no current competitors in phase II trials; which should company pursue? Pros and cons?
You are representing a collection of dental practices looking to be purchased by a hospital system. The head of these practices thinks there is additional value to the hospital system that is not being appreciated. How would you value this practice?
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