学生对 Coursera Project Network 提供的 Logistic Regression with Python and Numpy 的评价和反馈

it is a great course and successfully trained my ml model

Want to do a project in Logistic Regression. You are at the right spot Don't delay and take the course.

Easy to follow along, each step was made very clear, and I understood the justification behind steps.

Great learning material and hands-on platform!

A very good project for learners

great hand-on training

An amazing Project

very useful course

Good Initiation

super course

Thank you

Amazing

Great

good

Nice

generally while using scikit-learn library for logistic regression, we don't really understand the classes and alogoriths behind what we import. This gives a clear view of what goes behind the imported scikit modules. Its pretty hard though as compared to sckit learn code but gives some deep knowledge about the numpy library

Well..I would like to recommend this project for machine learning students who can have a better understanding of concepts related to deep learning and Ml.

I​t's implementation of gradient descent without the theory. Without the theory, it would not be understandable.

I enjoyed it. Thank you. But helper functions could be explained more or given as a blog.

Good course, very simple to understand

For beginners this course is great.

thanks

бестолковый курс, виртуальный стол неудобный, ноутбук неполный, нет модуля helpers

totally waste of time. please go to enrol Anderw Ng courses about deep learning.