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學生對 Coursera Project Network 提供的 Visual Machine Learning with Yellowbrick 的評價和反饋

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71 個評分

課程概述

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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1 - Visual Machine Learning with Yellowbrick 的 11 個評論(共 11 個)

創建者 Khandaker M A

2020年8月8日

創建者 Ramya G R

2020年6月10日

創建者 Abhishek C

2020年5月10日

創建者 Gangone R

2020年7月2日

創建者 MUHAMMED S S A

2020年4月16日

創建者 Kamlesh C

2020年7月26日

創建者 tale p

2020年6月28日

創建者 p s

2020年6月26日

創建者 sarithanakkala

2020年6月24日

創建者 Maxwell S d C

2020年6月15日

創建者 Sujal V

2020年3月18日