Python for Data Science and Machine Learning Essential Training Part 1
Python for Data Science and Machine Learning Essential Training Part 1
Electronic Video - 2024
Learn Python programming skills for data science and machine learning. Discover how to clean, transform, analyze, and visualize data, as you build a practical, real-world project.
में बचाया:
Holdings -
| निगमित लेखक: | |
|---|---|
| अन्य लेखक: | |
| स्वरूप: | इलेक्ट्रोनिक वीडियो |
| भाषा: | English |
| प्रकाशित: |
Carpenteria, CA
linkedin.com,
2024.
|
| विषय: | |
| ऑनलाइन पहुंच: | View course details on linkedin.com/learning |
MARC
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| 100 | 1 | |a Pierson, P.E., Lillian |e speaker. | |
| 245 | 1 | 0 | |a Python for Data Science and Machine Learning Essential Training Part 1. |c with Lillian Pierson, P.E. |
| 264 | 1 | |a Carpenteria, CA |b linkedin.com, |c 2024. | |
| 306 | |a 07h:44m:23s | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a 3/12/202412:00:00AM | ||
| 520 | |a Learn Python programming skills for data science and machine learning. Discover how to clean, transform, analyze, and visualize data, as you build a practical, real-world project. | ||
| 511 | 1 | |a Presenter: Lillian Pierson, P.E. | |
| 520 | |a Python for Data Science and Machine Learning Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts-giving you even more hands-on, real-world Python experience. In part one, instructor Lillian Pierson takes you step by step through a data science and machine learning project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate web-based graphs using Streamlit. By the end of this course, you'll have acquired basic coding experience that you can take to your organization and quickly apply to your own custom data science and machine learning projects. 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/python-for-data-science-and-machine-learning-essential-training-part-1?u=95224889&auth=true |z View course details on linkedin.com/learning |
| 092 | |a ONLINE CLASS | ||