March 2021
Beginner to intermediate
498 pages
12h 3m
English
Content preview from Cleaning Data for Effective Data Science
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
A
accuracy 427
Adaptive Synthetic (ADASYN) 442
Adaptive Synthetic Sampling Method for Imbalanced Data (ADASYN) 345
alternate trend imputation , 349
Apache ActiveMQ 427
Apache Avro 45
Apache Hive 55
Apache Parquet 44, 54, 55, 56, 452
Apache Pig 55
Apache Solr
Apache Spark 55
application programming interface (API) 434
arrow package 55
autocorrelation 268, 271, 272, 282
averaging 316
awk 66
B
bag-of-words 380
bcolz 46
Beautiful Soup 427
BeautifulSoup 138
Bespoke validation 284
collation validation 285, 287, 288, 289
transcription validation 289, 290, 291, 292, 293
biasing trends 233
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