學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋
課程概述
熱門審閱
FL
2017年10月13日
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
OA
2017年9月8日
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
426 - Applied Machine Learning in Python 的 450 個評論（共 1,442 個）
創建者 Thomas S
•2021年6月21日
A very good review of important fundamental concepts in Machine Learning focusing on the usage of Sklearn.
創建者 Rahul S
•2019年12月8日
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
創建者 Chris E
•2019年1月19日
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
創建者 Lari L
•2021年7月3日
The course gives deep knowledge on the subject as well as best practices and strong practice assignments.
創建者 abdelrahman a
•2020年12月9日
the most interesting thing in the course was treating the students as if they are already data scientists
創建者 Anurag W
•2019年7月18日
This Course really provides great learning on Advance Machine learning techniques with Python application
創建者 Matt E
•2017年8月29日
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
創建者 Fettah K
•2021年5月9日
Taking these lessons from some of the world's most prestigious universities and professors is priceless.
創建者 Alexander A
•2020年8月16日
Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants
創建者 Miguel Á B P
•2018年7月28日
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
創建者 Alejandro R
•2018年7月8日
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
創建者 Mile D
•2017年10月17日
After this course you will be able to do your own analysis using machine learning which is really great.
創建者 Allyson D d L
•2021年12月3日
Another good course of the specialization. The videos are a little boring but the assignments are good.
創建者 Shashwenth.M
•2019年12月19日
Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.
創建者 Min L
•2019年2月6日
A very good course to start journey on data science. Good combination of reading, lecture and practice.
創建者 Mikhail E
•2020年9月22日
Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue
創建者 Francesco S
•2018年3月20日
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
創建者 OUMEYMA F
•2019年12月23日
What I loved about this course is the consistency of its content and the quality of its presentation.
創建者 Zachary Q
•2019年8月19日
Was a great class where I learned to apply existing knowledge about ML to the actual background info!
創建者 Muhammad A R
•2018年9月24日
Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.
創建者 KylinMountain
•2018年6月7日
It's very impressive.
I suggest If we add a kaggle competition as a overall summery, that'll be great.
創建者 Megan J
•2018年12月31日
In depth understanding is required to complete the assignments. Challenging without being demanding.
創建者 Evan G
•2018年7月23日
Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.
創建者 ETENDRA V
•2021年9月30日
Very Good Course. I'll highly recommended pre requisites are basic knowledge of python programming.
創建者 David R
•2020年7月21日
Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.
Coursera Footer
