Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1415Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ozdemir, Sinan | - |
| dc.contributor.author | Susarla, Divya | - |
| dc.date.accessioned | 2026-07-25T04:02:08Z | - |
| dc.date.available | 2026-07-25T04:02:08Z | - |
| dc.date.issued | 2018-01 | - |
| dc.identifier.isbn | 978-1-78728-760-0 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1415 | - |
| dc.description.abstract | This book will cover the topic of feature engineering. A huge part of the data science and machine learning pipeline, feature engineering includes the ability to identify, clean, construct, and discover new characteristics of data for the purpose of interpretation and predictive analysis. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1190118; | - |
| dc.subject | Feature Engineering Made Easy | en_US |
| dc.title | Feature Engineering Made Easy | en_US |
| dc.title.alternative | Identify unique features from your dataset in order to build powerful machine learning systems | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Feature Engineering Made Easy.pdf | 6.07 MB | Adobe PDF | View/Open |
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