por Vishnu R
•11 de jul. de 2020
This is not a real world data. Instructor is showing a very basic example. I guess he could have done a real world problem which is little challenging and useful to participants.
por Yasir A
•13 de sep. de 2020
Nice course.
por Nikita H
•22 de sep. de 2020
Good course
por ANURAG P
•11 de jul. de 2020
A short duration course but with deep and effective learnings. This will give you some insights regarding the power of SVMs
por Diana C
•22 de nov. de 2020
Just the right amount of explanation and content.
por ESTEBAN P J
•16 de sep. de 2021
good and useful
por Gregory G J
•7 de ene. de 2021
Thumbs Up!
por Kamlesh C
•27 de ago. de 2020
Thank you
por VINAYAK M
•20 de jul. de 2020
Excellent
por Isaac S
•8 de jul. de 2020
Thanks
por Edward N
•25 de sep. de 2021
a1
por Himanka K
•12 de mar. de 2022
Showed good use of the SVM classifier on real medical diabetes data. However data engineering in the sense of building the dataset used by the model from raw data is missing, which is one of the most important part. Tons of online free example videos are there in youtube on how to apply SVM on real dataset, however for such paid project something extra was needed, which in my case was the data engieering.
por Ran B R
•9 de jun. de 2021
Quick and basic intro to SVM training. Clearly explained each step and pointed out some issues to avoid. I'd have liked a little explanation of *how* SVMs work (even just how predictions are made once model is trained), but it being "beyond the scope of the project" is not unreasonable
por Rushikesh S
•12 de jul. de 2020
Good course for practicing SVM Classifiers
por Shubhra P
•23 de jul. de 2020
A very simple example