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grid_world

A small program to quickly generate grid world MDPs with various kinds of states, including dead ends.

gtcoursework

A compendium of random work I have done as a student in Georgia Tech's Computer Science program

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

hadoop_practice

hip-mdp-public

Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

hr-walmart-2016

Solution to HackerRank WalmartLabs Codesprint (Machine Learning) 2016

hr-walmart-ml

lessons-learned-data-science-interviews

Lessons learned the hard way through over 30+ data science interviews

mapreducealgorithms

Data-Intensive Text Processing with MapReduce

matplotlib

matplotlib: plotting with Python

mcis6273_f16_datamining

Southern Arkansas University / MCIS6273 / Data Mining / Fall 2016

mdp

Machine Learning: Markov Decision Processes

ml_trading_assess_learners

machine learning trading algorithms: implement and compare decision tree learner, a random tree learner, and a bootstrap aggregating learner

nlp-graph-notebooks

IPython companion notebooks for blog posts about Natural Language Processing on lyonwj.com

omscs-cs7641-machine-learning-assignment-4

I am open sourcing the boiler plate code necessary for Assignment 4 so we can focus on the analysis instead.

plotting

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 ;)

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

pystanforddependencies

Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

python-programs

Practice Programs written in Python 2.7

r_applicatoin_in_data_visualizatoin

CSE6242 Data Visual analytics

scrape-o-reilly

spacy

Industrial-strength Natural Language Processing with Python and Cython

sparkpinkmst

spark_dbscan

DBSCAN clustering algorithm on top of Apache Spark

temp

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

thinkstats2

Text and supporting code for Think Stats, 2nd Edition