quizDocs

This data is suitable for NLP analysis.
This is an R list, 143 elements, one for each of 143 quizzes from my
various courses. Each list element is a character vector, one vector
element per line of the quiz.
The original documents were LaTeX files. They have been run through the
<code>detex</code> utility to remove most LaTeX commands, as well as removing
the LaTeX preambles separately.
The names of the list elements are the course names, as follows:
ECS 50: a course in machine organization
ECS 132: an undergraduate course in probabilistic modeling
ECS 145: a course in scripting languages (Python, R)
ECS 158: an undergraduate course in parallel computation
ECS 256: a graduate course in probabilistic modeling

Tools for linear, nonlinear and nonparametric regression
and classification.  Novel graphical methods for assessment
of parametric models using nonparametric methods. One
vs. All and All vs. All multiclass classification, optional
class probabilities adjustment.  Nonparametric regression
(k-NN) for general dimension, local-linear option.  Nonlinear
regression with Eickert-White method for dealing with
heteroscedasticity.  Utilities for converting time series
to rectangular form.  Utilities for conversion between
factors and indicator variables.  Some code related to
"Statistical Regression and Classification: from Linear
Models to Machine Learning", N. Matloff, 2017, CRC,
ISBN 9781498710916.

quizDocs: Course quiz documents

Description

Arguments