Data Science Interviews
Top Data Science Interview Questions with Answers | Community Contribution
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Data science interview questions
The responses are contributed by the community:
- Theoretical questions: data_science_questions.md (linear models, trees, neural networks and others).
- Technical questions: technical.md (SQL, Python, coding)
- More to come
Content Update Workflow
To modify the portal content, follow these steps:
- A Content Author creates or edits a markdown page to make the desired updates. Once the content is ready, the Content Author creates a GitHub pull request against the MLGuru repository main branch to request a review from the appropriate team members.
- One or more Content Approvers review and approve the content, or suggest modifications. If the pull request is approved, it is merged into the main branch.
- A Content Deployer merges the updated pull request into the main branch, which automatically deploys to https://mlguru.io/. Additionally, a release notes document is created to describe the changes made.
External resources and documentation
- Machine Learning Glossary
- One or more version of the data science glossary
- Fundamental book: An Introduction to Statistical Learning
- Choosing the right estimator
- Visualizing K-Means Clustering
- A Gentle Introduction to Random Forests, Ensembles, and Performance Metrics in a Commercial System
- Introduction to Support Vector Machines
- Principal Component Analysis
- Book: A tutorial on Principal Components Analysis
- Ordinary Least Squares Regression
- Shannon entropy calculator
YouTube