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Avis et commentaires pour d'étudiants pour Support Vector Machines with scikit-learn par Coursera Project Network

4.3
étoiles
305 évaluations

À propos du cours

In this project, you will learn the functioning and intuition behind a powerful class of supervised linear models known as support vector machines (SVMs). By the end of this project, you will be able to apply SVMs using scikit-learn and Python to your own classification tasks, including building a simple facial recognition model. 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, 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....

Meilleurs avis

MS

22 avr. 2020

Learned about SVM.

Need t revisit the code and get most out of it.

Things were concise and that is the strength of the course.

SY

12 mai 2020

This guided project will definitely give you a practical approach to what you have read in SVM.

Will definitely worth your time.

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par Tanish M S

30 mars 2020

par Rachana C

28 mars 2020

par Sagar

6 sept. 2020

par Sarthak P

10 juin 2020

par Satyendra k

29 mai 2020

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13 mai 2020

par Mayank S

23 avr. 2020

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par Lasal J

23 déc. 2020

par Abhishek P G

18 juin 2020

par RUDRA P D

16 sept. 2020

par Sebastian J

15 avr. 2020

par Ujjwal K

9 mai 2020

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8 mai 2020

par Ashwini M

13 juin 2020

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12 oct. 2020

par Shantanu b

23 mai 2020

par javed a

25 juin 2020

par JONNALA S R

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27 juin 2020

par SUDARSHINI A

31 mai 2020

par Kamlesh C

26 juin 2020

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26 juin 2020

par p s

22 juin 2020

par tale p

18 juin 2020