Datasets:

Brianlovett1991

/

Junk

like 0

SentiWordNet Lexicon, 340–342

VADER lexicon, 342–344 User-based recommendation

engines, 457

V

VADER lexicon, 342–344

Variance reduction, 325

Vector, 19

Video game genres, 201–202

Visual bag of words model (VBOW) K-means model, 233–234

SURF feature, 234–235

V-measure, 279

W

Web crawler, 132 Web scraping

Apress web site’s blog page, 132, 134 BeautifulSoup library, 135–136

crawl, 132

regular expression, 134–135

scrape, 132

Wine quality prediction

alcohol and volatile acidity, 446 Bagging methods, 437

Boosting methods, 437

DecisionTreeClassifier estimator, 434

gini parameter, 436

hyperparameters, 438–439

LimeTabularExplainer object, 443

micro-averaging, 441–442

model interpretation, 444 random forest model, 437–438 scikit-learn framework, 445

skater, 440–441

stacking methods, 437 train and test datasets, 433 tree model, 435

XGBoost model, 440

word2vec embedding model, 217–220 Wrapper methods, 242

X, Y

XML, See eXtensible Markup Language (XML)

Z

Z-score scaling, 240