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amueller
introduction_to_ml_with_python
Jupyter Notebook2016–2016
amueller / introduction_to_ml_with_python

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

AI & Machine LearningLearning & Reference
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2Distinct people
2Mentions
0Explicit recommenders
8.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Notebooks and code for the book "Introduction to Machine Learning with Python"

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, 11:56:56 AM 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 week2 dated mentions

Observed mentions: 2016-05-31 06:30:03 UTC to 2016-11-11 04:14:28 UTC. Weeks start Monday, UTC.

012016-05-30 00:00:00 UTC to 2016-06-06 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 302016-06-06 00:00:00 UTC to 2016-06-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-06-13 00:00:00 UTC to 2016-06-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-06-20 00:00:00 UTC to 2016-06-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-06-27 00:00:00 UTC to 2016-07-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-04 00:00:00 UTC to 2016-07-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-11 00:00:00 UTC to 2016-07-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-18 00:00:00 UTC to 2016-07-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-25 00:00:00 UTC to 2016-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-08-01 00:00:00 UTC to 2016-08-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-08-08 00:00:00 UTC to 2016-08-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-08-15 00:00:00 UTC to 2016-08-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 152016-08-22 00:00:00 UTC to 2016-08-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-08-29 00:00:00 UTC to 2016-09-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-05 00:00:00 UTC to 2016-09-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-12 00:00:00 UTC to 2016-09-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-19 00:00:00 UTC to 2016-09-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-26 00:00:00 UTC to 2016-10-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-03 00:00:00 UTC to 2016-10-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-10 00:00:00 UTC to 2016-10-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-17 00:00:00 UTC to 2016-10-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-24 00:00:00 UTC to 2016-10-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-31 00:00:00 UTC to 2016-11-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-11-07 00:00:00 UTC to 2016-11-14 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 7

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
May 302016-05-30 00:00:00 UTC2016-06-06 00:00:00 UTC110
Jun 62016-06-06 00:00:00 UTC2016-06-13 00:00:00 UTC000
Jun 132016-06-13 00:00:00 UTC2016-06-20 00:00:00 UTC000
Jun 202016-06-20 00:00:00 UTC2016-06-27 00:00:00 UTC000
Jun 272016-06-27 00:00:00 UTC2016-07-04 00:00:00 UTC000
Jul 42016-07-04 00:00:00 UTC2016-07-11 00:00:00 UTC000
Jul 112016-07-11 00:00:00 UTC2016-07-18 00:00:00 UTC000
Jul 182016-07-18 00:00:00 UTC2016-07-25 00:00:00 UTC000
Jul 252016-07-25 00:00:00 UTC2016-08-01 00:00:00 UTC000
Aug 12016-08-01 00:00:00 UTC2016-08-08 00:00:00 UTC000
Aug 82016-08-08 00:00:00 UTC2016-08-15 00:00:00 UTC000
Aug 152016-08-15 00:00:00 UTC2016-08-22 00:00:00 UTC000
Aug 222016-08-22 00:00:00 UTC2016-08-29 00:00:00 UTC000
Aug 292016-08-29 00:00:00 UTC2016-09-05 00:00:00 UTC000
Sep 52016-09-05 00:00:00 UTC2016-09-12 00:00:00 UTC000
Sep 122016-09-12 00:00:00 UTC2016-09-19 00:00:00 UTC000
Sep 192016-09-19 00:00:00 UTC2016-09-26 00:00:00 UTC000
Sep 262016-09-26 00:00:00 UTC2016-10-03 00:00:00 UTC000
Oct 32016-10-03 00:00:00 UTC2016-10-10 00:00:00 UTC000
Oct 102016-10-10 00:00:00 UTC2016-10-17 00:00:00 UTC000
Oct 172016-10-17 00:00:00 UTC2016-10-24 00:00:00 UTC000
Oct 242016-10-24 00:00:00 UTC2016-10-31 00:00:00 UTC000
Oct 312016-10-31 00:00:00 UTC2016-11-07 00:00:00 UTC000
Nov 72016-11-07 00:00:00 UTC2016-11-14 00:00:00 UTC101

What Hacker News says

2 sources
a_bonobo·Nov 11, 2016
There's also o'reilly's 'Introduction to Machine Learning with Python', which is very much about scikit-learn http://shop.oreilly.com/product/0636920030515.do Just came out a few weeks ago so it's relatively unknown, I've read the first few chapters and so far it's good! The first author Andreas Mueller is one of the scikit core devs. The Jupyter notebooks including the book's code are on GitHub: https://github.com/amueller/introduction_to_ml_with_python
In Introduction to Machine Learning for Developers

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