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LinkedIn Learning
Duration: 2h 21m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.21 GB
Genre: eLearning | Language: English
Data science provides organizations with striking-and extremely valuable-insights into human behavior. While data mining can seem a bit daunting, you don't need to be a highly skilled programmer to process your own data. In this new hands-on course, instructor Miki Tebeka shows you how to use the Python scientific stack to complete common data science tasks.
Learn about the basic tools and core concepts to effectively process data with the Python scientific stack, including how to work with Visual Studio Code for documentation, NumPy for numeric computation, Pandas for data crunching, scikit-learn for data modeling, madDescriptionlib for data visualization, and more. Upon completing this course, you'll have the skills you need to load and analyze data, run models, solve complex problems, and display results for your team.
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