charlesaydin Goto Github PK

api-kickstart

Examples and libraries to get started using the Akamai OPEN APIs

cambridgegis_data

City of Cambridge GIS Data

cartodb

Location Intelligence & Data Visualization tool

cartodb.js

CartoDB javascript library

charlesaydin.github.io

chelmbigstock

Stock analysis using machine learning and Hadoop

databricks

datasciencecoursera

datasharing

The Leek group guide to data sharing

di_f

docker

Docker - the open-source application container engine

finagle-apns

Finagle APNS client

firehoseoctober

getting-started

demo clients

graphconnect-2016

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

indypy-jupyter

GitHub repo for the IndyPy Jupyter presentation given on 3/8/2016 - Indianapolis, IN.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jupyter-notebook-slides

jupyterhub

Multi-user server for Jupyter notebooks

jupyterlab

JupyterLab computational environment. This is a very early preview, and is not suitable for general usage yet.

kafka-hue

Hue application for Apache Kafka

machine-learning-samples

Sample applications built using Amazon Machine Learning.

modeling-worked-example

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

nlm_sentiment

Neural language model for sentiment

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pydse

Python package for dynamic system estimation of time series

pypop

Python for Population Genomics