Is Machine-Learning-in-90-days open source?

Yes — krishnaik06/Machine-Learning-in-90-days is open source, released under the GPL-3.0 license.

What language is Machine-Learning-in-90-days written in?

krishnaik06/Machine-Learning-in-90-days is primarily written in Jupyter Notebook.

How popular is Machine-Learning-in-90-days?

krishnaik06/Machine-Learning-in-90-days has 1.4k stars on GitHub.

Where can I find Machine-Learning-in-90-days?

krishnaik06/Machine-Learning-in-90-days is on GitHub at https://github.com/krishnaik06/Machine-Learning-in-90-days.

← all repositories

krishnaik06/Machine-Learning-in-90-days

Machine Learning in 90 Days, Explained in Zero Words

A repository that appears to house a three-month notebook-based machine-learning curriculum, though its README offers no proof.

★1.4k stars Jupyter Notebook Learning

View on GitHub ↗

Not currently ranked — collecting fresh signals.

star history

What it does The repository’s name and its primary language—Jupyter Notebook—suggest it houses a structured, multi-week guide for learning machine learning. It has accumulated 1,403 stars, so it has clearly found an audience. Unfortunately, the README stops at the title, leaving the actual coverage, prerequisites, and day-to-day structure entirely unexplained.

The interesting bit A project can earn fourteen hundred stars without offering visitors a single sentence of orientation. That says less about the code and more about either the maintainer’s reputation or the desperate demand for guided ML roadmaps.

Key highlights

Appears to be a notebook-driven curriculum based on the repository name and language.
Has attracted 1,403 stars, indicating community interest despite the sparse landing page.
The README is completely empty beyond the repository title, leaving content scope a mystery.
No stated topics, tags, or description to guide discovery.

Caveats

The README provides no insight into what is actually covered, how the 90 days are structured, or what dependencies are involved.
Without a description or topics, search engines and GitHub’s own discovery features have nothing to work with.

Verdict Worth a look if you enjoy exploring unlabeled notebook collections; skip it if you need a syllabus, setup context, or any hint of what you are about to clone.

Frequently asked

What is krishnaik06/Machine-Learning-in-90-days?: A repository that appears to house a three-month notebook-based machine-learning curriculum, though its README offers no proof.
Is Machine-Learning-in-90-days open source?: Yes — krishnaik06/Machine-Learning-in-90-days is open source, released under the GPL-3.0 license.
What language is Machine-Learning-in-90-days written in?: krishnaik06/Machine-Learning-in-90-days is primarily written in Jupyter Notebook.
How popular is Machine-Learning-in-90-days?: krishnaik06/Machine-Learning-in-90-days has 1.4k stars on GitHub.
Where can I find Machine-Learning-in-90-days?: krishnaik06/Machine-Learning-in-90-days is on GitHub at https://github.com/krishnaik06/Machine-Learning-in-90-days.