Data Science Foundations Python Scientific Stack
Data Science Foundations Python Scientific Stack
Electronic Video - 2022
Learn about the Python scientific stack, with an emphasis on how to use it to solve problems.
में बचाया:
Holdings -
| निगमित लेखक: | |
|---|---|
| अन्य लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक वीडियो |
| भाषा: | English |
| प्रकाशित: |
Carpenteria, CA
linkedin.com,
2022.
|
| विषय: | |
| ऑनलाइन पहुंच: | View course details on linkedin.com/learning |
MARC
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| 050 | 4 | |a LDC3084641 | |
| 100 | 1 | |a Tebeka, Miki |e speaker. | |
| 245 | 1 | 0 | |a Data Science Foundations: Python Scientific Stack. |c with Miki Tebeka |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2022. | |
| 306 | |a 02h:25m:38s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 11/09/202212:00:00AM | ||
| 520 | |a Learn about the Python scientific stack, with an emphasis on how to use it to solve problems. | ||
| 511 | 1 | |a Presenter: Miki Tebeka | |
| 520 | |a Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started. | ||
| 538 | |a 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. | ||
| 655 | 4 | |a Instructional films. |2 lcgft | |
| 655 | 4 | |a Educational films. |2 lcgft | |
| 710 | 2 | |a linkedin.com (Firm) | |
| 856 | 4 | 0 | |u https://www.linkedin.com/learning/data-science-foundations-python-scientific-stack-17064277?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||