Interview Flashcards
Machine learning & statistics interview preparation
Visit website Visit websiteInterview Flashcards is a focused study tool for machine learning and statistics interviews. I designed its 162 cards around clear retrieval practice, then organized them into 14 topics so candidates can switch between broad review and targeted revision without losing momentum.
- Vanilla HTML
- Custom CSS
- JavaScript
- Vercel
Study, recall, repeat
The experience is deliberately lightweight: choose a topic or full deck, reveal the answer through an interactive flip, and revisit concepts through a spaced-repetition-friendly study flow with progress-aware navigation.
- 01 Curated ML & statistics content architecture
- 02 Category filtering for focused review
- 03 Flashcard flip, shuffle & sequential study modes
- 04 Responsive UI, progress states & view toggles
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162
Interactive cards designed for rapid technical recall.
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14
Machine learning and statistics categories.
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4
University admissions achieved after preparing with the resource.
From interview scope to study flow
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01
Map the interview syllabus
Break core ML and statistics knowledge into 14 revisable topic groups, from neural networks to estimation.
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02
Write for active recall
Turn each concept into an interview-ready question and a concise answer that reinforces understanding rather than rote memorization.
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03
Build a frictionless interface
Use a single-page Vanilla JavaScript interface for quick loads, responsive layouts, clear controls and lightweight animation.
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04
Deploy and iterate
Deploy the app on Vercel and refine the study flow around focused categories, shuffled review and progress-aware sessions.
