Navlani / Idris / Fandango | Python Data Analysis | E-Book | sack.de
E-Book

E-Book, Englisch, 478 Seiten

Navlani / Idris / Fandango Python Data Analysis

Perform data collection, data processing, wrangling, visualization, and model building using Python
3. Auflage 2021
ISBN: 978-1-78995-345-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

Perform data collection, data processing, wrangling, visualization, and model building using Python

E-Book, Englisch, 478 Seiten

ISBN: 978-1-78995-345-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



No detailed description available for "Python Data Analysis".

Navlani / Idris / Fandango Python Data Analysis jetzt bestellen!

Weitere Infos & Material


Table of Contents - Getting Started with Python Libraries
- NumPy and Pandas
- Statistics
- Linear Algebra
- Data Visualization
- Retrieving, Processing, and Storing Data
- Cleaning Messy Data
- Signal Processing and Time Series
- Supervised Learning
- Supervised Learning
- Unsupervised Learning
- Analyzing Textual Data
- Analyzing Image Data
- Parallel Computing using Dask


Navlani Avinash:
Avinash Navlani has over 8 years of experience working in data science and AI. Currently, he is working as a senior data scientist, improving products and services for customers by using advanced analytics, deploying big data analytical tools, creating and maintaining models, and onboarding compelling new datasets. Previously, he was a university lecturer, where he trained and educated people in data science subjects such as Python for analytics, data mining, machine learning, database management, and NoSQL. Avinash has been involved in research activities in data science and has been a keynote speaker at many conferences in India.Idris Ivan:
Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.