annamalainagappan / data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

Data Science 45-min Intros

~45-minute lessons and tutorials on topics that help our data team (@Gnip) learn new things and become more efficient in our day-to-day work: basic programming, language-specific packages, statistics, machine learning topics, whatever helps!

For each session, someone puts together the lesson/walk-through and leads the discussion. Presentation platform can include IPython notebooks, interactive code sessions, or anything else. 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!

Current topics

Bash

• Data structures

• Regular Expressions

Python

• Object oriented programming concepts + modules/packaging

• Unit testing with unittest

• Introduction to pandas

Statistics

• Maximum Likelihood Estimation

• Count-Min algorithm

Machine Learning

• Intro to scikit-learn

• Intro to topic modeling

• Introduction to K-means clustering

• Logistic Regression

• Naive Bayes Classifier

Geographic Information Systems

• Introduction to shapefile utilties + reverse geo coding (and Makefile)

Visualization

• D3 and Javascript Intro
• Real Time Data - Websockets Intro