Data Ingestion with Python

Data Ingestion with Python

with Miki Tebeka
Electronic Video - 2019

Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.

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書目詳細資料
企業作者: linkedin.com (Firm)
其他作者: Tebeka, Miki (Speaker)
格式: 電子 影片
語言:English
出版: Carpenteria, CA linkedin.com, 2019.
主題:
在線閱讀:View course details on linkedin.com/learning

MARC

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520 |a Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms. 
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520 |a A sizable portion of a data scientist's day is often spent fetching and cleaning the data they need to train their algorithms. In this course, learn how to use Python tools and techniques to get the relevant, high-quality data you need. Instructor Miki Tebeka covers reading files, including how to work with CSV, XML, and JSON files. He also discusses calling APIs, web scraping (and why it should be a last resort), and validating and cleaning data. Plus, discover how to establish and monitor key performance indicators (KPIs) that help you monitor your data pipeline. 
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