Prepare for a data science interview by studying this comprehensive list of Python questions with answers. Includes coding as well as theoretical questions.
These machine learning algorithms are the bread and butter for Data Scientists to solve problems and derive insights in a faster and more efficient way.
Advanced SQL interview questions that every data scientist should know. It is quite important to understand what is being tested and how you can prepare for it.
Here are eight AI Chrome extensions that data scientists will find helpful. Especially if they’re of the lazy sort that wants data science to work for them.
What is threading in Python, and what is it useful for? We’ll explain everything: what it is, how it works, and give you some code examples to get you started.
We’ll talk about supervised and unsupervised feature selection techniques. Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting.
A comprehensive guide on Python concepts and questions from top companies for all the budding Data Engineers to help them in preparing for their next interview.
Interview questions for all the data engineers that wish to work at Meta/Facebook. We carefully selected the interview questions to reflect the data engineer job description as closest as possible.