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data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

datapalooza-2015

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deeplearning

Deep Learning (Python, C/C++, Java, Scala)

flask-beer

Python flask app pulling data from a beer recommender.

growth-workshop

learndatascience

Open Content for self-directed learning in data science

planout

PlanOut is a library and interpreter for designing online experiments.

python-nvd3

Python Wrapper for NVD3 - It's time for beautiful charts

rickshaw

JavaScript toolkit for creating interactive real-time graphs

statistics-workshop

This workshop surveys the concepts in probability and statistics that are covered in the statistics, math, and probability interview for Galvanize's Data Science Immersive program.

vincent

A Python to Vega translator