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Machine Learning with Python for Everyone
book

Machine Learning with Python for Everyone

by Mark Fenner
August 2019
Beginner to intermediate
353 pages
18h 48m
English
Addison-Wesley Professional
Content preview from Machine Learning with Python for Everyone

Index

Symbols

+1 trick, 38, 4345, 336, 521

1-NN model, 145, 154156

for the circle problem, 464

3-NN model, 66, 193

3D datasets, 460461

80–20 rule, 83

Σ, in math, 30

A

accuracy, 15, 27, 163

calculating, 62

fundamental limits of, 163

accuracy_score, 62

AdaBoost, 400, 405

AdaBoostClassifier, 400, 403406

additive model, 318

aggregation, 390

algorithms

analysis of, 72

genetic, 101

less important than data, 15

amoeba (StackExchange user), 465

analytic learning, 18

Anderson, Edgar, 56

ANOVAs test, 463

area under the curve (AUC), 177178, 182193, 202

arguments, of a function, 362

arithmetic mean, 170, see also average

array (NumPy), 276, 494

assessment, 113115

assumptions, 55, 270, 282, 286287, 439

attributes, 45

average

computing from confusion ...

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Publisher Resources

ISBN: 9780134845708