FahadBinHussain /

cse422

CSE422 machine learning labs and project on tree sterility prediction using Python, Jupyter notebooks, and scikit-learn

A new way for AI to search for data
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10commits on main
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Jupyter Notebook 100%, Python 0% · created 2026-01-05 · last push 2026-05-22

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 81ea578364. It is the newest commit on main.

Selected work

Fahad
@FahadBinHussain

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

classificationcse422data-analysisforest-ecologyjupyter-notebookmachine-learningpythonscikit-learn

Example questions

The prompt

Paste it into your AI agent. It clones FahadBinHussain/cse422 at the pinned commit and indexes it on your machine.

Search the GitHub repository FahadBinHussain/cse422 with XERJ (https://hub.xerj.org/corpus/fahadbinhussain--cse422).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/FahadBinHussain/cse422 cse422 && git -C cse422 checkout 81ea5783646b78bd4a38ed4fb1940df0b6f9c38d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./cse422 --url http://127.0.0.1:9200 --prefix cse422 --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

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Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.