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
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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
AS
2020年11月26日
great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
426 - Applied Machine Learning in Python 的 450 個評論（共 1,467 個）
創建者 Kamran J
•2022年6月30日
It is a great opportunity to participate in this course for students intersted in machine learning with Python.
創建者 Diego C
•2021年3月31日
Very good introduction, a lot of information but you feel you are learning the foundations of machine learning.
創建者 Andrii T
•2020年7月13日
Excellent course. I'm particularly thankful to the instructor, who was warm-hearted and explained well enough.
創建者 Siddhant t
•2021年8月9日
Amazing ocurse focussing on handon application of machine learning alorithms and tools for model evaluation.
創建者 Liu L
•2019年1月2日
This course provides a good introduction to using python in machine learning. It helps me to get hands on it.
創建者 Mikhail S
•2017年8月27日
Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.
創建者 Ahmad A
•2020年7月11日
Excellent Course each topic is both theoretically as well as as practically explained. Really a good course
創建者 Akshay S T
•2020年5月24日
Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module
創建者 Nitin K
•2019年4月22日
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
創建者 Mohamed A M A
•2019年1月19日
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
創建者 HISHAM I A
•2018年11月5日
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
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.
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