StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Deep ML
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
About Deep ML
Deep-ML provides hands-on machine learning and data science exercises. Users browse Python coding challenges by difficulty and category, write solutions in a browser-based editor, and receive feedback against test cases.
It also includes labs that use real datasets, interactive articles with math visualizations, progress tracking across collections with badges, and a forum for questions and interview discussion. Topics include linear algebra, machine learning, deep learning, NLP, and computer vision.
Key features
- Solve Python ML problems in browser editor with test-case feedback
- Filter coding challenges by difficulty and category
- Work with real datasets in labs
- Learn from interactive articles with math visualizations
- Track progress across collections and earn badges
- Practice interview prep with company-specific paths and mock interviews
Best for: Learners who want to practice implementing machine learning concepts in Python from scratch.
Good for
- Problems are stated to be created by machine learning scientists and engineers
- Covers fundamentals plus deep learning, NLP, and computer vision
- Includes test-case feedback, progress tracking, and community discussion
Deep ML at a glance
- Website
- deep-ml.com
- Category
- Education & Learning › Learn to Code
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Deep ML FAQ
How do I solve a problem on Deep-ML?
Browse challenges by difficulty and category, write Python in the browser editor, and run it against test cases.
What topics are covered?
Linear algebra, machine learning, deep learning, NLP, and computer vision.
Do I need an account to try it?
The site states no account is needed to try problems.
Is something wrong or out of date?
Tell us and an editor will check it.
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