Managing datasets and models:
This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dulles, VA
Mercury Learning and Information
[2023]
|
| Schlagworte: | |
| Online-Zugang: | DE-1043 DE-1046 DE-858 DE-Aug4 DE-859 DE-860 DE-91 DE-706 DE-739 Volltext |
| Zusammenfassung: | This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading. Features: Covers extensive topics related to cleaning datasets and working with models Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn Features companion files with source code, datasets, and figures from the book |
| Beschreibung: | 1 Online-Ressource (368 Seiten) |
| ISBN: | 9781683929512 |
| DOI: | 10.1515/9781683929512 |
Internformat
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Datensatz im Suchindex
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| index_date | 2024-07-03T23:40:32Z |
| indexdate | 2024-08-28T00:15:28Z |
| institution | BVB |
| isbn | 9781683929512 |
| language | English |
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| physical | 1 Online-Ressource (368 Seiten) |
| psigel | ZDB-23-DGG ZDB-23-DEI ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FHA_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DEI TUM_Paketkauf_2023 ZDB-23-DGG UPA_PDA_DGG |
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| spelling | Campesato, Oswald Verfasser (DE-588)1045391425 aut Managing datasets and models Oswald Campesato Dulles, VA Mercury Learning and Information [2023] © 2023 1 Online-Ressource (368 Seiten) txt rdacontent c rdamedia cr rdacarrier This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading. Features: Covers extensive topics related to cleaning datasets and working with models Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn Features companion files with source code, datasets, and figures from the book Data Management / Teams/ Leadership COMPUTERS / Database Management / Data Mining bisacsh Python (Computer program language) Erscheint auch als Druck-Ausgabe 9781683929529 https://doi.org/10.1515/9781683929512 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Managing datasets and models Data Management / Teams/ Leadership COMPUTERS / Database Management / Data Mining bisacsh Python (Computer program language) |
| title | Managing datasets and models |
| title_auth | Managing datasets and models |
| title_exact_search | Managing datasets and models |
| title_exact_search_txtP | Managing Datasets and Models |
| title_full | Managing datasets and models Oswald Campesato |
| title_fullStr | Managing datasets and models Oswald Campesato |
| title_full_unstemmed | Managing datasets and models Oswald Campesato |
| title_short | Managing datasets and models |
| title_sort | managing datasets and models |
| topic | Data Management / Teams/ Leadership COMPUTERS / Database Management / Data Mining bisacsh Python (Computer program language) |
| topic_facet | Data Management / Teams/ Leadership COMPUTERS / Database Management / Data Mining Python (Computer program language) |
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