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Data-Science-Interview-Questions-Answers is a curated educational repository designed to help data science candidates prepare for technical interviews by organizing a large bank of questions and answers in one place. It began as a daily interview question initiative and was later consolidated into GitHub so learners could review the material more easily and revisit it over time. The repository focuses on core data science fundamentals rather than acting as a software framework, which makes it especially useful as a study and revision resource. Its content is organized into subject-specific documents that cover machine learning, deep learning, statistics, probability, Python, SQL and databases, and resume-based interview questions. That structure makes it practical for users who want to study by topic, strengthen weak areas, or simulate the range of questions they may encounter in interviews.
Features
- Curated collection of data science interview questions and answers
- Coverage of machine learning and deep learning topics
- Dedicated sections for statistics and probability review
- Python-focused interview preparation materials
- SQL and database interview question coverage
- Resume-based question set for practical interview readiness
Project Samples
