HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
microsoft
ML-For-Beginners
Jupyter Notebook2021–2025
microsoft / ML-For-Beginners

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

6Distinct people
6Mentions
0Explicit recommenders
92.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2021-07-02 20:14:55 UTC to 2025-01-15 17:29:16 UTC.

0122021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC211
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110

What Hacker News says

6 sources
ikamran01·Jan 15, 2025Submission

Learn Machine Learning with these GitHub repositories

*Learn Machine Learning with these amazing GitHub repositories! * 1⃣ [ML for Beginners](https://github.com/microsoft/ML-For-Beginners) by Microsoft 2⃣ [100 Days of ML Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) by Avik Jain 3⃣ [ML From Scratch](https://github.com/eriklindernoren/ML-From-Scratch) by Erik Linder-Noren 4⃣ [Hands-On ML](https://github.com/ageron/handson-ml2) by Ageron 5⃣ [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) by Joseph Misiti Save & Share for quick access! #MachineLearning #GitHub #AI #LearnML
6 points · Open discussion
Read the rest
In Good coding groups for black women?
Is there a polite, constructive way to tell him no word has been put into the "original author's mouth"? What he's reading there is just the following sentence in the book, separated with a comma... > TextBlob does a pretty good job at the translation: "C'est une vérité universellement reconnue, qu'un homme célibataire en possession d'une bonne fortune doit avoir besoin d'une femme!". It can be argued that TextBlob's translation is far more exact, in fact, than the 1932 French translation of the book by V. Leconte and Ch. Pressoir: "C'est une vérité universelle qu'un célibataire pourvu d'une belle fortune doit avoir envie de se marier, et, si peu que l'on sache de son sentiment à cet egard, lorsqu'il arrive dans une nouvelle résidence, cette idée est si bien fixée dans l'esprit de ses voisins qu'ils le considèrent sur-le-champ comme la pr
Read the rest
opriété légitime de l'une ou l'autre de leurs filles." In this case, the translation informed by ML does a better job than the human translator who is unnecessarily putting words in the original author's mouth for 'clarity'. https://github.com/microsoft/ML-For-Beginners/blob/main/6-NL...
In ML for Beginners GitHub

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.