Chevron Left
Logistic Regression with NumPy and Python(으)로 돌아가기

Coursera Project Network의 Logistic Regression with NumPy and Python 학습자 리뷰 및 피드백

4.4
별점
91개의 평가
13개의 리뷰

강좌 소개

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....
필터링 기준:

Logistic Regression with NumPy and Python의 13개 리뷰 중 1~13

교육 기관: Chinmay B

May 24, 2020

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

교육 기관: PATIL P R

Apr 04, 2020

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

교육 기관: Mariappan M

May 15, 2020

Clear explanation and good content. Thanks

교육 기관: Pritam B

May 15, 2020

it was an nice experience

교육 기관: Shreyas R

Apr 25, 2020

Amazing. Must do this

교육 기관: Diego R G

May 22, 2020

Great project!

교육 기관: jagadeeswari N

May 29, 2020

nice overview

교육 기관: Anisetti S K

Apr 23, 2020

well balanced

교육 기관: Dipak S s

Apr 24, 2020

fine courxe

교육 기관: Mukulesh S

Apr 02, 2020

Problem was that rhyme could not run for more than the alloted time because I had many errors in between because of which I couldn't complete my whole code in the given time.

교육 기관: 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.

교육 기관: Rick N

Apr 18, 2020

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

교육 기관: Sumit M

May 04, 2020

Content is good but explanation is below average.