學生對 密歇根大学 提供的 Applied Machine Learning in Python 的評價和反饋
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FL
Oct 14, 2017
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
Sep 09, 2017
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
226 - Applied Machine Learning in Python 的 250 個評論（共 819 個）
創建者 SUDHAKAR M S
•Oct 16, 2019
Great Course. Helped to understand the basics of machine learning, the algorithms and their applications using python.
創建者 Pratyush L
•Sep 28, 2018
The course gives a good overview of the concepts and a great paced programming assignments to understand the concepts.
創建者 Emanuele P
•Oct 25, 2017
It gives you the methods and the essential knowledge to build a learning pipeline using Python and SciKit-learn tools.
創建者 Saiapin A
•Jul 24, 2017
This is a great course for those who want to get acquainted with machine learning basics as well as its applications.
創建者 bishnu m
•May 27, 2018
I have increased my lots of machine learning skills specially with python language, I have got a very good practice.
創建者 chris l
•Jan 18, 2020
An excellent course if you are prepared to be patient and do lots of additional research outside the given content.
創建者 Said G
•Oct 26, 2019
It was really a good experience. The content is rich and clear and the tools at our disposal are of good quality.
創建者 Dindayal H P
•Jul 20, 2019
The overall course structure was very good. Also the instructor was good at his knowledge and explaination skill.
創建者 Pooja C
•Jun 17, 2018
Helped me understand the fundamental concepts and practice them with assignemens. I highly recommend this course.
創建者 Janesh D
•Nov 14, 2017
It was a great course. This course covered a lot of material and Professor explained every concepts very clearly.
創建者 Yuwei Y
•Jun 04, 2019
I like this course very much. It focuses on ML application and it's easy to understand. Definitely recommend it!
創建者 Vasilis S
•Aug 12, 2018
Great course! Assignment 4 is very interesting and allows you to apply all you've learnt in this course at once.
創建者 Ryan J
•Feb 11, 2018
Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market
創建者 Matthias B
•Aug 05, 2017
Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.
創建者 Liu L
•Jan 03, 2019
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
•Aug 27, 2017
Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.
創建者 Nitin k
•Apr 22, 2019
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
創建者 Mohamed A M A
•Jan 19, 2019
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
創建者 HISHAM I A
•Nov 05, 2018
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
創建者 Rahul S
•Dec 08, 2019
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
創建者 Christian E
•Jan 19, 2019
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
創建者 Anurag W
•Jul 18, 2019
This Course really provides great learning on Advance Machine learning techniques with Python application
創建者 Matt E
•Aug 29, 2017
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
創建者 Miguel Á B P
•Jul 28, 2018
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
創建者 Alejandro R
•Jul 08, 2018
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
