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Practice In‑Browser
Run code against real datasets, see outputs and plots inline.
Overview
Preparing for ML roles often becomes juggling tutorials, notes, and repos — with little signal on whether you can actually ship a solution.
Plenty of theory exists; structured practice is scarce.
CodeNeuron aims to close that gap: a practical, guided environment where you tackle problems end‑to‑end in a browser IDE, iterate quickly, and get immediate, visual feedback. Short concept notes appear only when helpful so momentum stays high.
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Story‑Driven
Real scenarios over puzzles, with goals and constraints.
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Visible Progress
Metrics, graphs, and dataset peeks at every step.
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Intuition First
Understand when and why techniques fit the problem.
9Core Topics
30+Structured Problems
4Step Workflow
Why CodeNeuron Is Different
Not puzzles. Projects. CodeNeuron teaches applied ML through end‑to‑end scenarios. Each task follows the real workflow — preprocess → model → evaluate → visualize — with dataset peeks, intermediate outputs, and visualizations that build intuition.
- Real scenarios: Work through end‑to‑end problems, not riddles.
- Visible progress: See samples, metrics, and plots as you go.
- Intuition first: Learn when and why each method fits.
- Preprocess
- Model
- Evaluate
- Visualize
What’s Shipped (v1)
- Problem sets grounded in real‑life scenarios — topics like linear regression, train/test splits, k‑nearest neighbours, decision trees, and model generalization.
- Coverage so far: 9 core topics and 30 structured questions (and growing).
- Every problem follows a clear flow: short scenario, step‑by‑step tasks (preprocessing → modeling → evaluation → visualization), datasets, sample inputs/outputs, and difficulty estimates.
- In‑browser IDE: run your code against real datasets and see instant results — including plots rendered back in the output.
- Learn alongside the work: concise inline concept notes surface when you need them to build intuition faster.
Stack
- React
- Vite
- Tailwind
- FastAPI
- Python
- Docker
- Firebase
- Cloud Run
My Role
Solo engineer — product design, UI, backend, runner, Firebase, Docker/Cloud Run, and content.
Status & Roadmap
Status: Early Access. Shipping fast and learning in public.
- Publish more problems and topics
- Add editorial walkthroughs and a layered hint system
- Shape learning paths with milestones
- Richer feedback with metrics and visuals
- Community space to share and create together
Collaborate / Feedback
If this resonates and you’d like to jam on ideas, contribute problems, help with UX/UI, or just chat about ML learning — I’d love to connect.
- DM me on LinkedIn: @jainanurag23
- Share feedback via the site's Feedback option
- Or email me — anurag.jain486@gmail.com