| Playing Time |
01h:25m:16s |
| Note |
12/12/201912:00:00AM |
| Summary |
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. |
| Cast |
Presenter: Miki Tebeka |
| Summary |
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. |
| System Details |
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. |
| Genre |
Instructional films. |
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Educational films. |
| Added Author |
linkedin.com (Firm)
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