Data science essentials in Python : collect - organize - explore - predict - value /
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyz...
Gespeichert in:
- Weitere Titel:
- Data science essentials in Python
- 1. Verfasser:
- Weitere Verfasser:
- Format:
- Elektronisch E-Book
- Sprache:
- Englisch
- Veröffentlicht:
-
Raleigh, North Carolina :
The Pragmatic Bookself,
2016.
- Ausgabe:
- 1st edition
- Zusammenfassung:
-
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.
- Umfang:
-
1 online resource (208 pages) : illustrations (some color).
text file - Anmerkungen:
- Place of publication from publisher's website.
- Bibliografie:
- Includes bibliographical references and index.
- ISBN:
-
9781680502237
1680502239
9781680503395
1680503391
9781680503388
1680503383
9781680501841
1680501844 - Schlagworte:
- Links: