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Вернуться к Машинное обучение с использованием Python

Отзывы учащихся о курсе Машинное обучение с использованием Python от партнера IBM

Оценки: 9,702
Рецензии: 1,576

О курсе

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....

Лучшие рецензии


Feb 07, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.


May 26, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

Фильтр по:

1476–1500 из 1,564 отзывов о курсе Машинное обучение с использованием Python

автор: Jayesh M

Jan 27, 2020

Too complex course, some one will do not understand many things out of it.

автор: Abdulwahab A

Apr 03, 2020

Was not easy to use the code on my local machine.

I was using spyder IDE

автор: Vinayak R S

Jul 25, 2019

Should be an extensive course.The coding part should be explained more.

автор: Madhurima M

May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

автор: Chen Y

Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

автор: Rangappa N

Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

автор: abd-elrhman m

Jul 05, 2020

everything was out of scope it was just a brief of every thing

автор: Aravind P

Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

автор: Stefan A

Jun 06, 2020

Lab is working bad so a lot of time is waisted with waiting.

автор: Ramsrinivas A

Jan 17, 2020

Theoretical portion was shallow compared to Lab portion

автор: Hunter W I

Apr 21, 2020

Learned a little bit, want more real world application

автор: SHAONI C

Dec 02, 2019

needs more clarification on classification algorithm

автор: lorenzo a

Feb 12, 2020

soooo many typoes and small mistakes in this course

автор: H A H

May 19, 2020

this is good course about basic machine learning..

автор: Haykel S

Dec 26, 2019

The Correction of assignment is not very correct.

автор: Long N

Aug 15, 2020

The course should have been designed better

автор: Abdul R

Mar 28, 2020

Labs Are not responding it sucks a lot

автор: dk

Nov 23, 2019

不建议新人学,这个是系列课程的一部分,内容不多 只讲个大概给你听

автор: Omkar A

Jun 17, 2019

Practical Classes were Missing.

автор: Manoj P

Oct 30, 2018

can be done much better

автор: Rao M H

Apr 01, 2020

Lab are working worst

автор: Rajesh K R

Dec 12, 2019

Good for beginners

автор: Сокол С А

Dec 02, 2019

Too superficial

автор: Akash S D

Aug 20, 2020