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Вернуться к Visual Machine Learning with Yellowbrick

Отзывы учащихся о курсе Visual Machine Learning with Yellowbrick от партнера Coursera Project Network

Оценки: 71

О курсе

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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1–11 из 11 отзывов о курсе Visual Machine Learning with Yellowbrick

автор: Khandaker M A

8 авг. 2020 г.

автор: Ramya G R

10 июня 2020 г.

автор: Abhishek C

10 мая 2020 г.

автор: Gangone R

2 июля 2020 г.


16 апр. 2020 г.

автор: Kamlesh C

26 июля 2020 г.

автор: tale p

28 июня 2020 г.

автор: p s

26 июня 2020 г.

автор: sarithanakkala

24 июня 2020 г.

автор: Maxwell S d C

15 июня 2020 г.

автор: Sujal V

18 мар. 2020 г.