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rasbt
python-machine-learning-book-2nd-edition
Jupyter Notebook2018–2018
rasbt / python-machine-learning-book-2nd-edition

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

2Distinct people
2Mentions
0Explicit recommenders
7.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The "Python Machine Learning (2nd edition)" book code repository and info resource

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 week2 dated mentions

Observed mentions: 2018-06-03 01:51:07 UTC to 2018-10-22 16:46:46 UTC. Weeks start Monday, UTC.

012018-05-28 00:00:00 UTC to 2018-06-04 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 282018-06-04 00:00:00 UTC to 2018-06-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-06-11 00:00:00 UTC to 2018-06-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-06-18 00:00:00 UTC to 2018-06-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-06-25 00:00:00 UTC to 2018-07-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-02 00:00:00 UTC to 2018-07-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-09 00:00:00 UTC to 2018-07-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-16 00:00:00 UTC to 2018-07-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-23 00:00:00 UTC to 2018-07-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-30 00:00:00 UTC to 2018-08-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-06 00:00:00 UTC to 2018-08-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 62018-08-13 00:00:00 UTC to 2018-08-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-20 00:00:00 UTC to 2018-08-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-27 00:00:00 UTC to 2018-09-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-03 00:00:00 UTC to 2018-09-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-10 00:00:00 UTC to 2018-09-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-17 00:00:00 UTC to 2018-09-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-09-24 00:00:00 UTC to 2018-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-01 00:00:00 UTC to 2018-10-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-08 00:00:00 UTC to 2018-10-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-15 00:00:00 UTC to 2018-10-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-22 00:00:00 UTC to 2018-10-29 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsOct 22

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 282018-05-28 00:00:00 UTC2018-06-04 00:00:00 UTC101
Jun 42018-06-04 00:00:00 UTC2018-06-11 00:00:00 UTC000
Jun 112018-06-11 00:00:00 UTC2018-06-18 00:00:00 UTC000
Jun 182018-06-18 00:00:00 UTC2018-06-25 00:00:00 UTC000
Jun 252018-06-25 00:00:00 UTC2018-07-02 00:00:00 UTC000
Jul 22018-07-02 00:00:00 UTC2018-07-09 00:00:00 UTC000
Jul 92018-07-09 00:00:00 UTC2018-07-16 00:00:00 UTC000
Jul 162018-07-16 00:00:00 UTC2018-07-23 00:00:00 UTC000
Jul 232018-07-23 00:00:00 UTC2018-07-30 00:00:00 UTC000
Jul 302018-07-30 00:00:00 UTC2018-08-06 00:00:00 UTC000
Aug 62018-08-06 00:00:00 UTC2018-08-13 00:00:00 UTC000
Aug 132018-08-13 00:00:00 UTC2018-08-20 00:00:00 UTC000
Aug 202018-08-20 00:00:00 UTC2018-08-27 00:00:00 UTC000
Aug 272018-08-27 00:00:00 UTC2018-09-03 00:00:00 UTC000
Sep 32018-09-03 00:00:00 UTC2018-09-10 00:00:00 UTC000
Sep 102018-09-10 00:00:00 UTC2018-09-17 00:00:00 UTC000
Sep 172018-09-17 00:00:00 UTC2018-09-24 00:00:00 UTC000
Sep 242018-09-24 00:00:00 UTC2018-10-01 00:00:00 UTC000
Oct 12018-10-01 00:00:00 UTC2018-10-08 00:00:00 UTC000
Oct 82018-10-08 00:00:00 UTC2018-10-15 00:00:00 UTC000
Oct 152018-10-15 00:00:00 UTC2018-10-22 00:00:00 UTC000
Oct 222018-10-22 00:00:00 UTC2018-10-29 00:00:00 UTC110

What Hacker News says

2 sources
More great Jupyter Notebooks in the AI field: 1) 16 notebooks from the book "Python Machine Learning" by Raschka & Mirjalili https://github.com/rasbt/python-machine-learning-book-2nd-ed... 2) Linear Regression, Logistic Regression, Random Forests, and k-Means Clustering notebooks by Nitin Borwankar https://github.com/nborwankar/LearnDataScience 3) scikit-learn tutorial notebooks by Jake VanderPlas https://github.com/jakevdp/sklearn_tutorial 4) Lots of deep learning notebooks from the book "Deep Learning with Python" by François Chollet https://github.com/fchollet/deep-learning-with-python-notebo... Bonus) Jupyter notebook on AWS tutorial (when your local computer just won't handle your notebook requirements): http://efavdb.com/deep-learning-with-jupyter-on-aws/ Please share your jupyter notebook recommendations.
In Reinforcement Learning Jupyter Notebooks

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