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nborwankar
LearnDataScience
Jupyter Notebook2013–2018
nborwankar / LearnDataScience

LearnDataScience

Open Content for self-directed learning in data science

2Distinct people
2Mentions
0Explicit recommenders
3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open Content for self-directed learning in data science

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 year2 dated mentions

Observed mentions: 2013-12-20 04:32:25 UTC to 2018-06-03 01:51:07 UTC.

012013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018

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
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC110
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101

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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