jmportilla

interview

Everything you need to kick ass on your coding interview

SQL-Appendix

Appendix

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

data-science-course

Data Science Course Materials - Fall 2014

LearnDataScience

Open Content for self-directed learning in data science

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

spark-notebook-examples

Some notebook examples related to Apache Spark

Code-Challenge

Data-Engineer-Challenge

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

flask-pycon2015

Code for my PyCon 2015 tutorial "Flask Workshop"

route-optimizer

TSPModel.jl

15.071x-The-Analytics-Edge

python-midi

Python MIDI library