Index

_

__init__

A

ABIDE-II, [1] Absolute path advanced normalization tools (ANTs) Affine, [1] Affine transform Analysis of variance (ANOVA)

Application Programming Interface Application programming interface (API), [1], [2] Argument unpacking Array-array arithmetic Array-scalar arithmetic Artificial neural networks

B

Backpropagation Bias variance tradeoff BIDS apps, [1]

Booleans Brain age Brain Imaging Data Structure (BIDS) BrainIak

C

Calinski-Harabasz score Canny filter Canny, John cd Class instance Classes Classification, [1]

Clustering, [1] Coefficient of determination, [1] Collins, Eileen conda Convolution Convolutional neural networks CPAC

D

Decision trees Dictionary Diffeomorphic registration Diffusion Imaging in Python (DIPY), [1] Dimensionality reduction

Docker Dockerfile docstring dot notation Dropout

E

elif statements

else statements

F

Feature engineering Feature selection Filtering fitlins

fMRIPrep for loops Freesurfer, [1], [2] Functions

G

Gaussian filter Gaussian Naive Bayes classifier git git add git branch, [1] git checkout git commit git init

git log git merge git status GitHub glmsingle Gradient descent grep groupby

H

Hildreth, Ellen

Human Connectome Project Pipelines Hunter, John, [1]

I

if statements import Indexing (arrays) (DataFrames) (lists)

Inductive bias Internal validation, [1]

K

K-means clustering

Keras Key-word arguments

L

Lasso Lasso regression Learning curve

List List comprehension ls

M

Magic methods Marr, David Matplotlib Matrix multiplication

Max pooling Modularity Morphology MRIQC, [1] MultiIndex

N

Namespace Neurodocker Neurostars Nibabel, [1], [2] Nilearn, [1]

NiPy Nipype, [1] None Not a Number (NaN) Numpy

O

Object-oriented programming, [1] Ordinary least-squares regression, [1]

Otsu's method Otsu, Nobuyuki

P

Penalized regression PEP8 Pingouin Pipe operator (unix) Polynomial features Positional arguments print function

pwd pyBIDS pyproject.toml file Pytest Python package Python path Python standard library, [1]

R

Ramon y Cajal, Santiago Random forests Regression

Regularization, [1], [2] Relative path RGB Ridge regression, [1]

S

Scikit Image Scikit Learn Scikit-learn Pipelines Seaborn, [1], [2] Separation of concerns setuptools Shepp-Logan phantom Simple Hashing Algorithm (SHA) Slicing (arrays) (lists)

Software documentation, [1] Sphinx Split-apply-combine Srivastava, Nitish Standard library Statsmodels Strides Supervised learning Symmetric normalization (SyN) algorithm

T

Templateflow Temporal SNR Tensorflow Test harness

Third normal form Tidy Data, [1] touch Tuple

U

Unix	Unsupervised learning

V

Validation curve

Variable assignment Version control

W

Waskom, Michael

Z

zeros