{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "trentorch-trentorch--practice-ml-coding-questions-in-browser",
 "repo": "TrenTorch/TrenTorch",
 "repo_url": "https://github.com/TrenTorch/TrenTorch",
 "repo_slug": "trentorch-trentorch",
 "title": "Solve ML coding questions in the browser with instant grading",
 "page_title": "How to solve ML coding questions in the browser with instant grading with Tren Torch",
 "summary": "Answer topic-based ML questions in Pyodide with no local install and get graded instantly.",
 "who": "A learner or interviewer prep candidate who wants to practice ML coding on any device without setting up Python.",
 "problem": "Setting up a local environment to practice small ML coding tasks slows down daily practice.",
 "outcome": "The user has submitted at least one question and seen it graded in the browser, with a Problem of the Day attempt if they choose.",
 "steps": [
  "Open trentorch.com in a browser.",
  "Sign in with GitHub, Google, or email.",
  "Choose a topic area such as Inference or Vision and start a question.",
  "Write your answer in the starter file and submit it to be graded.",
  "Open the Problem of the Day to try the one new web question for that day."
 ],
 "agent_prompt": "Open trentorch.com, sign in, start one question from the Inference track, and report the question title, whether the grader returned pass or fail, and the first failing test name if any.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The README says the web questions are graded in Pyodide, so you should expect browser-specific behavior and no local debugging tools unless you run the repo locally.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3 with venv for the CLI track",
  "Node.js and npm for the web app track",
  "A GitHub, Google, or email account for the browser version (optional)"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/trentorch-trentorch/practice-ml-coding-questions-in-browser/",
 "md": "https://dedupedai.com/use-cases/trentorch-trentorch/practice-ml-coding-questions-in-browser/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/trentorch-trentorch--practice-ml-coding-questions-in-browser.json",
 "api_version": "v1"
}