Python for data science : a hands-on introduction / Yuli Vasiliev
Material type:
TextPublication details: San Francisco, California : No Starch Press, Inc., c2022Description: xviii, 217 pages : illustrations ; 24 cmISBN: - 9781718502208
- QA 76.73.P98 .V37 2022
Books
| Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
|
Books
|
National University - Manila | LRC - Main General Circulation | Machine Learning | GC QA 76.73.P98 .V37 2022 (Browse shelf(Opens below)) | c.1 | Available | NULIB000019551 |
Browsing LRC - Main shelves, Shelving location: General Circulation, Collection: Machine Learning Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| GC QA 76.73.P98 .G75 2022 Practical deep reinforcement learning with python / | GC QA 76.73.P98 .G78 2019 Data science from scratch : first principles with python / | GC QA 76.73.P98 .R37 2022 Machine Learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python / | GC QA 76.73.P98 .V37 2022 Python for data science : a hands-on introduction / | GC QA 76.73.P224 .P69 2010 Php solutions : dynamic web design made easy / | GC QA 76.73.S67 .M87 2012 Murach's MySQL : training and reference / | GC QA 76.73.S67 .R63 2011 The language of SQL / |
Includes index.
The basics of data -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.
There are no comments on this title.