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kubernetes-fluentd-s3

A docker container designed for kubernetes, forwarding logs to AWS S3

kubernetes-on-aws

Bootstrap a Kubernetes cluster on AWS via Cloudformation scripts

materials

Bonus materials, exercises, and example projects for our Python tutorials

ml-abstractions-intro-python

Machine learning walkthrough using python scikitlearn in a Jupyter notebook. It is browser based so it is easy to run and learn.

ml-aws-sagemaker-spark

Scripts using Python SDK to train machine learning models in SageMaker and Spark

ml-dato-deep-learning-image-classifier

IPython notebook from the Dato presentation on classifying images using deep learning

ml-deep-learning-techfest2017

Source code for demo

ml-hpe-haven-sample

Sample application from HPE Discover using Haven Ondemand.

ml-intro-aws-emr-spark

My initial foray into using ML and analysis workloads on AWS Elastic Map Reduce

ml-intro-neural-networks-python

My attempts to learn about neural networks and deep learning using python

ml-intro-ohe-scikitlearn

Experiment with one hot encoding.

ml-intro-optimization-python

Messing around with linear optimization

ml-intro-pipeline-python-scikitlearn

Learning python pipleline for normalization and clustering

ml-intro-pipelines-spark-python

My attempts to program a data set from David's data set on housing.

ml-intro-python-boosting

Messing around with a boosting algorithm I got from a webinar.

ml-intro-python-zoll

Adapted abstractions presentation to do a more involved presentation at Zoll Medical Corporation.

ml-intro-r-classifiers-tjo

Learning Classifiers from a data scientist named TJO.

ml-intro-regression-nueralnet-r

I am experimenting with Neural Networks in R using a sample I got from [here](https://heuristically.wordpress.com/2011/11/17/using-neural-network-for-regression/)

ml-intro-time_series-r

I am experimenting with Time Series using R from a site I found.

ml-intro-zeppelin

I am experimenting with zeppelin for visualization

ml-nfl-data-analysis

My sojourn into analyzing NFL data for fantasy

ml-spark-intro-version-1.6

Scripts I used to test the features of Spark 1.6

ml-spark-intro-version-2.0

Start of my code to check out new features in version 2.0. I'm looking into pipelines and SQL interface

ml-spark-sql-dataframes

Experiments with sparksql to see how I can handle complex times in dataframes

ml-spark-streaming-basics

Scripts of messing around with Spark Streaming. I got most of the ideas from the spark install directory /src/main/python/streaming/

ml-thrival-heartrate-demo-python

ml-upmce-aws-banking-sample

Sample app I adopted from the AWS ML walkthrough. I am trying to predict which customers will buy a new banking product.

ml-upmce-intro-api-haven

This sample illustrates how to use machine learning APIs in primarily HPE's Haven Online SaaS. This code was presented at UPMCE.

ml-upmce-intro-logistic-classification-in-r

Dr. Dickson explains how to use linear classification in R to detect when a nuclear isotope detection system may be inaccurate.

ml-upmce-palooza-python

My solutions to the UPMCE Machine learning hackathon