學生對 Coursera Project Network 提供的 Logistic Regression with NumPy and Python 的評價和反饋

Excellent course but requires prior theoretical knowledge of logistic regression and linear regression. I have a suggestion for the instructor. If possible, can you attach conceptual videos that are already available on Coursera like liner regression lecture by Andrew Ng or any other lecture, then it will be beneficial for students. Overall a good project for starters like me.

Thank you

Very helpful for learning logistic regression without using any libraries. Before taking this project one should have a clear understanding of Logistic Regression, then it will be very helpful

Its a good course. Instructor is good. Lot of concepts cleared and enough practice has done.

W​ell explained all the basic components of gradient descent. Exactly as advertised.

Great tool to practice what i learned in Andrew Yng's ML course about Log. Reg.

I really enjoyed this course. Thank you for your valuable teaching.

Thank You... Very nice and valuable knowledge provided.

Able to follow project. Thanks for guiding

Clear explanation and good content. Thanks

good project got to learn a lot of things

Great course ! very informative

Thanks :)

It is one of the best guided project.

Please, keep doing good job

good course a lot to learn

Excelente aprovechamiento

it was an nice experience

Amazing. Must do this

Great project!

nice overview

well balanced

its was good

Really good

Nice course

fine courxe

Amazing