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

267 個評分
35 條評論


Welcome to this project-based course on Logistic with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent, cost function, and logistic regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. By the time you complete this project, you will be able to build a logistic regression model using Python and NumPy, conduct basic exploratory data analysis, and implement gradient descent from scratch. The prerequisites for this project are prior programming experience in Python and a basic understanding of machine learning theory. 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, NumPy, and Seaborn pre-installed....



May 24, 2020

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


Jun 09, 2020

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


26 - Logistic Regression with NumPy and Python 的 35 個評論(共 35 個)

創建者 Zaheer U R

Jun 01, 2020

Very Interesting and useful course. It helped me gain additional values and techniques about logistic regression

創建者 Ammar S

Jul 15, 2020

Gain more understanding about LR and gradient descent practically.

創建者 Alama N

May 31, 2020

Thank you for formation freind

創建者 Girish G A

May 23, 2020

If you are looking for hands on projects after completing Andrew NG Machine Learning Courses, these courses are more of a revision. No explanation about the plots and its parameters. Why it's 0 1 or 2. It would have been nice had there been more explanation about plotting and data visualization. Also accuracy calculated at the end of course seems wrong.

創建者 Boyuzhu

Jun 29, 2020

The code on Ryme is not clearly explained. I feel the lecture is a bit of confusing. We expect to know not only what code we need to write, but also why we write these codes.

創建者 Suvam S

Aug 07, 2020

I wish the instructor could had explained it more better.

創建者 Rohan B

Jun 16, 2020

A bad course, pretty useless if you're not already well versed with logistic regression. And you need to be an expert in python data science libraries too to understanding anything at all. The test taken in the end was like a joke.

創建者 Rick N

Apr 18, 2020

Horrible experience. Learned nothing. Cannot get back to review the material. Locked out? Zero stars.


Jun 17, 2020

The instructor of this course makes everything really boring.

創建者 Sumit M

May 04, 2020

Content is good but explanation is below average.