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学生对 Coursera Project Network 提供的 Visual Machine Learning with Yellowbrick 的评价和反馈

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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....



1 - Visual Machine Learning with Yellowbrick 的 11 个评论(共 11 个)

创建者 Khandaker M A

Aug 8, 2020

创建者 Ramya G R

Jun 10, 2020

创建者 Abhishek C

May 10, 2020

创建者 Gangone R

Jul 2, 2020


Apr 16, 2020

创建者 Kamlesh C

Jul 26, 2020

创建者 tale p

Jun 28, 2020

创建者 p s

Jun 26, 2020

创建者 sarithanakkala

Jun 24, 2020

创建者 Maxwell S d C

Jun 15, 2020

创建者 Sujal V

Mar 18, 2020