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Вернуться к Машинное обучение с использованием Python

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

Оценки: 5,631
Рецензии: 732

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.


Aug 04, 2019

The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.

Фильтр по:

601–625 из 728 отзывов о курсе Машинное обучение с использованием Python

автор: Dorjee G

Nov 12, 2019

Great course, great instructor. I enjoyed doing the Lab works.


автор: Mahendra S

Jul 21, 2019

Contents are very useful and informative. A good start for beginners.

автор: Mujeebullah Y

Oct 23, 2019

Good course. However, they need to explain the code more in details.

автор: Dipesh S

Nov 02, 2019

thank you so much for this course, I really enjoyed this course.

автор: Abhinav K

Mar 03, 2019

A complete package for those who want to start from the stratch

автор: Prakash R

Feb 10, 2019

This course helps me to get understand about Machine Learning.

автор: Ana C

Jul 31, 2019

I missed algorithms like random forest and ensemble Methods

автор: yavuz k

Jul 16, 2019

Very good structured course. Everything stepwise explained

автор: 刘启迪

Mar 13, 2019

Great online course for Machine Learning! very practical!

автор: Abdul M A

May 14, 2019

very good lecture but not detailing notes to back it up

автор: Jayant D

Jul 29, 2019

Explanation is good but code practice could be better.

автор: Pokkunuri S C

Nov 28, 2019

All the videos and practice exercises are wonderful

автор: Hassan B

Oct 22, 2019

I enjoyed this course. It contains a great content.

автор: Benjamin L

Oct 30, 2019

The final assignment was not as good as I expected

автор: Chiara P M

May 18, 2019

good machine learning overview. Good first course

автор: Gurudu S R

Jun 10, 2019

It should need more explanations on code cells.

автор: Dhanushree

Jun 05, 2019

still we need better way of understanding labs.

автор: swati k

Aug 19, 2019

Course Content is very good, well explained !!

автор: Victor S A P

Jul 30, 2019

Good guide through the ML different subjects.

автор: Zhichen S

Mar 12, 2019

Instruction upon final assignment is unclear.

автор: Avinash K

May 18, 2019

There is need of more videos and mathematics

автор: YIFAN H

Oct 13, 2019


автор: Sutanu B

Jul 19, 2019

Okay, but the programs should be explained.

автор: Izabela K

Sep 07, 2019

Great introduction into many ML algorithms

автор: Chandra P G

Jan 10, 2019

Nice One. With Superb Hands On Exercises.