Data Science Foundations: Python Scientific Stack With Miki Tebeka

Posted on 10 Nov 12:06 | by mitsumi | 26 views
Data Science Foundations: Python Scientific Stack With Miki  Tebeka
Data Science Foundations: Python Scientific Stack With Miki Tebeka
Released 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 25m | Size: 515.6 MB


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.

Download link

rapidgator.net:


uploadgig.com:


[/b]:

[b]1dl.net
:

Related News

The 44 most used Python Pandas, Numpy and Matplotlib codes! The 44 most used Python Pandas, Numpy and Matplotlib codes!
The 44 most used Python Pandas, Numpy and Matplotlib codes! Genre: eLearning | MP4 | Video: h264,...
NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities MP4 | Video: h264, 1280x720...
Python for Data Science & Machine Learning: Zero to  Hero Python for Data Science & Machine Learning: Zero to Hero
Master Data Science & Machine Learning in Python: Numpy, Pandas, Matplotlib, Scikit-Learn,...
Go for Python  Developers Go for Python Developers
Go for Python Developers Released: 02/2023 Duration: 1h 28m | .MP4 1280x720, 30 fps(r) | AAC,...

System Comment

Information

Error Users of Visitor are not allowed to comment this publication.

Facebook Comment

Member Area
Top News