ngould

import os
import random

from openai import OpenAI


client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))

survey_options = [
    "Help Scout",

ngould

Keybase proof

I hereby claim:

• I am ngould on github.
• I am ngould (https://keybase.io/ngould) on keybase.
• I have a public key ASAYsmJF4bN38QR3LJXKxLpS6GE7VzZBPSglw9YnXstKMQo

To claim this, I am signing this object:

ngould

============================================================================= test session starts ==============================================================================
platform darwin -- Python 2.7.10 -- py-1.4.30 -- pytest-2.7.2
rootdir: /Users/nathangould/workspace/sklearn-pmml, inifile: 
collected 9 items 

sklearn_pmml/convert/test/test_decisionTreeClassifierConverter.py ...FF
sklearn_pmml/convert/test/test_derived_fields.py .
sklearn_pmml/convert/test/test_gradientBoostingConverter.py ..
sklearn_pmml/convert/test/test_randomForestConverter.py E

ngould

############## MY QUESTIONS ###############

Regarding the course listings, I'm trying to get a better understanding of 
the variety and flexibility in the M.Eng. curriculum. Here are a few specific questions:

- Are all courses available to M.S. students also available to M.Eng. students?

- What courses are required? From the website, I gather that "Entrepreneurial Life" 
and the "M.Eng. Project" are the only two required courses. Is that correct?

ngould

# Code below is based on the tutorial here:
#
#     http://www.r-bloggers.com/unprincipled-component-analysis/
#

# Load and prepare the data
urlBase <- 'http://www.win-vector.com/dfiles/PCA/'

pv <- read.table(paste(urlBase, 'ProxyVariables.csv', sep=''),
								 sep=',', header=T, comment.char='')