Could you explain how gradient boosting algorithms work?
Data Science Interview Questions
10,895 data science interview questions shared by candidates
Getting around this (https://www.kaggle.com/allunia/e-commerce-sales-forecast ) data and finding the prospect hypothesis from the data.
Where do you see yourself in five years?
Take home ML project; presentation of the project.
Why did you apply at booking.com?
1. talk about a project in your resume 2. Why Amgen?
Can you provide an example of a time when you had to present your findings to a non-technical audience? How did you ensure they understood the insights?
Experience in Python, R, Data Cleaning
How to price properties on a website?
* Coding round followed by interview * Questions on Linear regression - how gradient descent works * RMSE * Logistic regrerssion * Cross entropy loss * question from project * Softmax activation * puzzle question * Question on convolution neural netwoks and its working * vgg 16 architecture * pca working * Convolution and padding
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