iamtodor/data-science-interview-questions-and-answers
A compilation of data science interview questions and answers covering ML concepts like regularization, bias-variance tradeoff, and model evaluation.
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This repository provides a study guide of interview questions for data science positions, covering topics such as feature selection, regularization techniques, evaluation metrics (precision, recall, ROC), and unsupervised learning methods. The content is organized by question topic and includes answers. It serves as a reference resource for candidates preparing for ML-related technical interviews.
Frequently asked
- What is iamtodor/data-science-interview-questions-and-answers?
- A compilation of data science interview questions and answers covering ML concepts like regularization, bias-variance tradeoff, and model evaluation.
- Is data-science-interview-questions-and-answers open source?
- Yes — iamtodor/data-science-interview-questions-and-answers is open source, released under the MIT license.
- How popular is data-science-interview-questions-and-answers?
- iamtodor/data-science-interview-questions-and-answers has 1.7k stars on GitHub.
- Where can I find data-science-interview-questions-and-answers?
- iamtodor/data-science-interview-questions-and-answers is on GitHub at https://github.com/iamtodor/data-science-interview-questions-and-answers.