Visual Machine Learning with Yellowbrick に戻る
Coursera Project Network による Visual Machine Learning with Yellowbrick の受講者のレビューおよびフィードバック
70件の評価
コースについて
Welcome to this project-based course on Visual Machine Learning with Yellowbrick. In this course, we will explore how to evaluate the performance of a random forest classifier on the Poker Hand data set using visual diagnostic tools from Yellowbrick. With an emphasis on visual steering of our analysis, we will cover the following topics in our machine learning workflow: feature analysis, feature importance, algorithm selection, model evaluation using regression, cross-validation, and hyperparameter tuning.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, Yellowbrick, and scikit-learn pre-installed.
Notes:
- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Visual Machine Learning with Yellowbrick： 1 - 11 / 11 レビュー
by Khandaker M A
•2020年8月8日
This is a better-planned guided project with practice quizzes which really helps. So I would definitely like to recommend this course for those who wants to have a knowledge on visual machine learning.
by Ramya G R
•2020年6月10日
I really enjoyed this project. Thank you very much for your valuable teaching. Like to learn more from your end.
by Abhishek C
•2020年5月10日
but the cloud desktop is not good
by Gangone R
•2020年7月2日
very useful course
by MUHAMMED S S A
•2020年4月16日
It's very useful
by Kamlesh C
•2020年7月26日
Thanks
by tale p
•2020年6月28日
good
by p s
•2020年6月26日
Nice
by sarithanakkala
•2020年6月24日
Good
by Maxwell S d C
•2020年6月15日
Nice but short and somwhat lacking theory
by Sujal V
•2020年3月18日
good
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