Pinned Repositories
asoiaf
Character Interaction Networks for George R. R. Martin's "A Song of Ice and Fire" saga
blog_code
Code used on the mcfromnz.wordpress blog
Code-Sleep-Python
Some Awesome Projects Implemented in Python :coffee: :computer: :snake:
cookiecutter
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cookiecutter-r-data-analysis
cookie cutter template for my r workflow
County_Level_Election_Results_12-16
US president county-level election results for 2012 and 2016
course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
php-login
A PHP & MySQL login script built into a skeleton MVC application. Part of the PHP-LOGIN project.
k-gerst's Repositories
k-gerst/php-login
A PHP & MySQL login script built into a skeleton MVC application. Part of the PHP-LOGIN project.
k-gerst/asoiaf
Character Interaction Networks for George R. R. Martin's "A Song of Ice and Fire" saga
k-gerst/blog_code
Code used on the mcfromnz.wordpress blog
k-gerst/Code-Sleep-Python
Some Awesome Projects Implemented in Python :coffee: :computer: :snake:
k-gerst/cookiecutter
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
k-gerst/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
k-gerst/cookiecutter-r-data-analysis
cookie cutter template for my r workflow
k-gerst/County_Level_Election_Results_12-16
US president county-level election results for 2012 and 2016
k-gerst/course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
k-gerst/datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
k-gerst/egonetworks
Python package for egocentric network analysis
k-gerst/expyriment
Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments
k-gerst/faker
Faker is a Python package that generates fake data for you.
k-gerst/fuzzyjoin
Join tables together on inexact matching
k-gerst/hadoop
Mirror of Apache Hadoop
k-gerst/k-gerst.github.io
k-gerst/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
k-gerst/markov_clustering
markov clustering in python
k-gerst/minimal-mistakes
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
k-gerst/MLPB
Machine Learning Problem Bible | Problem Set Here >>
k-gerst/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
k-gerst/NET-SS3-Dissertation
This repository contains the code to replicate all data processing and analysis procedures for my dissertation. This project investigates the relationship between social network characteristics and decisions to engage in risky drinking contexts.
k-gerst/pyshp
This library reads and writes ESRI Shapefiles in pure Python.
k-gerst/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
k-gerst/python_mcl
markov cluster algorithm - python
k-gerst/pytudes
Python programs to practice or demonstrate skills.
k-gerst/rethinking
Statistical Rethinking course and book package
k-gerst/sklearn-benchmarks
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
k-gerst/Statistical-Modelling-and-Inference
k-gerst/tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson