At the risk of saying, “Yeah, it’s in the docs,” this is what I did. I think the crucial thing is installed things in the proper order, so I would advise going step-by-step:

1. Have conda installed (brew install conda if not, I suppose)
2. Create a conda environment with conda …

Get the source code and data on Github

This demonstrates how you create a multistep AzureML pipeline using a series of PythonScriptStep objects.

In this case, the calculation is extremely trivial: predicting Iris species using scikit-learn's Gaussian Naive Bayes. This pipeline could be solved (very quickly) using this code:

import …

One of my big weekend projects (for longer than I care to think) has been trying to create a pipeline for identifying individual whalesharks from photos. The project had kind of grown moribund as I repeatedly failed to get any decent level of recognition despite using what I thought was …

OMG I can't believe I missed this competition. It's exactly in line with my whaleshark identification project.

https://www.kaggle.com/c/humpback-whale-identification

Here's a baby humpback whale that swam up to the boat a few weeks ago. In the second photo you can see it popped it's head up …