Data-Science-Interview-Questions-Answers
A Curated list of data science interview questions and answers
I started an initiative on LinkedIn in which I post daily data science interview questions. For better access, the questions and answers will be updated in this repo. The questions can be divided into six categories: machine learning questions, deep learning questions, statistics questions, probability questions, python questions, and resume-based questions. If you would like to participate in this questions and answers follow me on LinkedIn
I started an intuitive on LinkedIn in May 2022 in which I post daily data science interview questions and the answers I got on each post I summarize them and post on the next day in another post. The questions are prepared by me, in addition to others that I received from my connections on LinkedIn. You are more than welcome to send me questions on my LinkedIn profile or email me & at [email protected].
The main goal of this intuitive is to revise the basics of data science, be prepared for your next interview, and know the expected questions in a data science interview. For better access, the questions and answers are gathered here in this GitHub repository and in these medium articles. They will be updated with new questions daily.
The questions are divided into seven categories:
- Machine Learning Interview Questions & Answers for Data Scientists
- Deep Learning Interview Questions & Answers for Data Scientists
- Top LLM Interview Questions & Answers for Data Scientists
- Top Computer Vision Interview Questions & Answers for Data Scientists Part 1
- Top Computer Vision Interview Questions & Answers for Data Scientists Part 2
- Top Computer Vision Interview Questions & Answers for Data Scientists Part 3
- Statistics Interview Questions & Answers for Data Scientists
- Probability Interview Questions & Answers for Data Scientists
- Python Interview Questions & Answers for Data Scientists
- SQL & DB Interview Questions & Answers for Data Scientists
- Resume Based Questions