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Voltar para Visual Machine Learning with Yellowbrick

Comentários e feedback de alunos de Visual Machine Learning with Yellowbrick da instituição Coursera Project Network

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Sobre o curso

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 de 11 Avaliações para o Visual Machine Learning with Yellowbrick

por Khandaker M A

8 de ago de 2020

por Ramya G R

10 de jun de 2020

por Abhishek C

10 de mai de 2020

por Gangone R

2 de jul de 2020

por MUHAMMED S S A

16 de abr de 2020

por Kamlesh C

26 de jul de 2020

por tale p

28 de jun de 2020

por p s

26 de jun de 2020

por sarithanakkala

24 de jun de 2020

por Maxwell S d C

15 de jun de 2020

por Sujal V

18 de mar de 2020