datahacking Goto Github PK

financial-analysis-python-tutorial

Financial Analysis in Python tutorial

fullstackdataanalysis

Presentation February 2015

go

The Open Source Data Science Masters

hadoop-algorithms

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

kdd-2013-usb

Contents of the KDD 2013 USB drive

learndatascience

Open Content for self-directed learning in data science

linuxgems

A succinct cheat sheet for newbie linux coders and system administrators, documenting some of the more obscure and useful gems of linux lore. Intended to be viewed in emacs org-mode, or VimOrganizer, though any text editor will suffice.

magicmethods

Guide to Python's magic methods

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

mcmc-tutorial

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

musicmood

A machine learning approach to classify songs by mood.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nips2013_sklearn

Abstract for NIPS 2013

nlp-in-python

Intro to some NLP concepts in Python for a class

nlptutorial

A Tutorial about Programming for Natural Language Processing

notebooks

Learn the theory of linear algebra hand-in-hand with the practice of software library development.

numpy-100

100 Numpy exercises

octave-networks-toolbox

A set of graph/networks analysis functions in Octave

pandas-cookbook

Recipes for using Python's pandas library

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pca-tutorial

Presenation-- PCA for the uninitiated: Intuitive motivation via maximum variance interpretation

pds

Practical Data Science [INFO-GB.3359 (B20.3359)]

phraug2

A new version of phraug, which is a set of simple Python scripts for pre-processing large files

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

probabilistic-programming-and-bayesian-methods-for-hackers

An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pycon2015

Material for talk "Machine Learning 101" https://speakerdeck.com/kastnerkyle/pycon2015 https://us.pycon.org/2015/schedule/presentation/367/

pydata-nyc-2014

Pydata NYC 2014 Scikit Learn Tutorial