Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
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DrSkippy Merge pull request #78 from crwilcox/patch-1
Add launch in Azure Notebooks button
Latest commit 4fa24da Oct 21, 2017
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Bokeh bokeh tutorial Sep 8, 2015
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bandit-algorithms-101 Added more text to the notebook and cleaned up some naming. Sep 5, 2015
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choosing-k-in-kmeans update a few print statements for python 3 compatibility May 30, 2017
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topic-modeling-201 Modified topic model, improved explanations, and fixed typos Dec 3, 2015
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websockets-101 fixed a few of the README issues Oct 24, 2014
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README.md Add launch in Azure Notebooks button Oct 20, 2017

README.md

Data Science 45-min Intros

Every week*, our data science team @Gnip (aka @TwitterBoulder) gets together for about 50 minutes to learn something.

While these started as opportunities to collectively "raise the tide" on common stumbling blocks in data munging and analysis tasks, they have since grown to machine learning, statistics, and general programming topics. Anything that will help us do our jobs better is fair game.

For each session, someone puts together the lesson/walk-through and leads the discussion. Presentation platforms commonly include well-written READMEs, IPython notebooks, knitr documents, interactive code sessions... the more hands-on, the better.

Feel free to use these for your own (or your team's) growth, and do submit pull requests if you have something to add.

*ok, while we try to do it every week, sometimes it doesn't happen. In that case, we try to guilt trip the person who slacked.

Current topics

Python

Bash + command-line tools

Statistics

Machine Learning

Natural Langugage Processing

Network structure

Algorithms

Engineering

Geographic Information Systems

Web development

Visualization

Databases