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Hands on data science materials for ASOs

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.ipynb_checkpoints
 
 
__pycache__
 
 
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solutions
 
 
1 - Reading Data.ipynb
 
 
2 - Data Wrangling with Pandas.ipynb
 
 
3 - Exploratory Analysis with Pandas.ipynb
 
 
4 - Exploratory Plotting.ipynb
 
 
5 - Modeling with scikit-learn.ipynb
 
 
BSidesDFW - 2014.ipynb
 
 
Collection_Techniques_PE.ipynb
 
 
Descriptive Analytics PE.ipynb
 
 
Discovery Analytics PE.ipynb
 
 
LICENSE
 
 
README.md
 
 
RandomForest.ipynb
 
 
Services Exploration.ipynb
 
 
eda.ipynb
 
 
environment.yml
 
 
imports-test.py
 
 
load_data.py
 
 
marx-geo.tar.gz
 
 
python-tutorial.ipynb
 
 

README.md

ASO_100

Hands on data science materials for ASOs

This repository is a collection of resources for hands-on practice of data science fundamentals. I will do my best to credit the sources of content or inspiration for the content. The primary source for most of the data and the notebook content is here, at Skipper Seabold's 2018 PyCon GitHub repository. There is also an accompanying video of his presentation on YouTube

The primary focus will be creating a jupyter notebook environment to allow for the application of Python and possibly R or other scripting languages and tools to manipulate, describe and visualize data.

Link to run in the browser on mybinder.org https://mybinder.org/v2/gh/fargetan/ASO_100/HEAD

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