学生对 Coursera Project Network 提供的 Support Vector Machines in Python, From Start to Finish 的评价和反馈

the remote desktop is impossible to work with.

just let me work on the jupyter lab...

very low level of course

Nice explanation. Each and every step explained well and in notebook written good explanation.

Thanks for the Project explanation, practice and skill test.

skill test questions is very useful and to gain knowledge on SVM.

Short and understandable. Plus, Josh Starmer is a great instructor.

It was amazing lecture and teach special with SVM in Python I did learn a lot from him via his tasked. I will download his videos all each tasked have a part of explanation.

Best instructor I've ever had. I'm a huge fan of all of your stats videos! Awesome awesome work and I'm really looking forward to more in ML!!!

This is a very good course to start with SVM.I now know the basic coding for SVM.

Thank You sir.

Great Course. Designed nicely, easy to understand. Now i know how to use SVM.

I am a beginner in this area but I learned a lot in this course.

Excellent Teaching. Makes it easier for you to understand SVM.

Short concise and precise course for learning SVM.

Very helpful. Great instructor.

nice course

Thank you

Great

Good

Good

good

Best

nice

Although there are many lectures on SVM, I have opted for this because of the name " Josh Starmer" BAMM..!! I am a great follower of his youtube videos and I like the way he explains things in easy and understandable way. I hope I have learnt many things to mess around with Support vector Machines. This even helps me in my class project.

The course really picks up nice on reading, formatting, handling missing values but it's stretched too much and the re-reading of the jupyter notebook seemed too much for me. In the end, I do understand only a bit of SVM's implementation and optimization but not really the concept of SVM.

Initially it was explained but after some point he just started reading the code