May 2024
Intermediate to advanced
486 pages
11h 33m
English
Content preview from Python Data Cleaning Cookbook - Second Edition
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Index
A
anomalies
finding, with Isolation Forest 152-156
API
complicated JSON data, importing from 53-57
apply
B
bagging 276
Beautiful Soup 58
binning 308
bivariate relationships
unexpected values, identifying 128-135
viewing, with scatter plots 191-197
boxplots
used, for identifying outliers for continuous variables 173-179
broadcasting 224
C
categorical features
encoding, with high cardinality 300-303
encoding, with medium cardinality 300-303
categorical variables
frequencies, generating for 98-102
chaining 8
classes
logic, for updating Series values 429-434
non-tabular data structures, handling 435-439
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.