学生对 University of Michigan 提供的 Applied Machine Learning in Python 的评价和反馈
课程概述
热门审阅
MB
Jun 18, 2017
Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.
PS
Apr 2, 2018
Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!
451 - Applied Machine Learning in Python 的 475 个评论（共 1,574 个）
创建者 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.
创建者 NAMAN M 2
•Jan 18, 2023
This course helped me a lot on how can we do so much interesting things using machine learning using python.
创建者 Ahmad A
•Jul 11, 2020
Excellent Course each topic is both theoretically as well as as practically explained. Really a good course
创建者 Akshay S T
•May 24, 2020
Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module
创建者 Nitin K
•Apr 21, 2019
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
创建者 Mohamed A
•Jan 19, 2019
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
创建者 HISHAM I A
•Nov 5, 2018
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
创建者 Thomas S
•Jun 21, 2021
A very good review of important fundamental concepts in Machine Learning focusing on the usage of Sklearn.
创建者 Rahul S
•Dec 8, 2019
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
创建者 Chris E
•Jan 19, 2019
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
创建者 Lari L
•Jul 3, 2021
The course gives deep knowledge on the subject as well as best practices and strong practice assignments.
创建者 abdelrahman a
•Dec 9, 2020
the most interesting thing in the course was treating the students as if they are already data scientists
创建者 Anurag W
•Jul 18, 2019
This Course really provides great learning on Advance Machine learning techniques with Python application
创建者 Matt E
•Aug 29, 2017
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
创建者 Fettah K
•May 9, 2021
Taking these lessons from some of the world's most prestigious universities and professors is priceless.
创建者 Alexander A
•Aug 16, 2020
Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants
创建者 Miguel Á B P
•Jul 28, 2018
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
创建者 aerr96
•Jul 8, 2018
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
创建者 Mile D
•Oct 16, 2017
After this course you will be able to do your own analysis using machine learning which is really great.
创建者 Allyson D d L
•Dec 2, 2021
Another good course of the specialization. The videos are a little boring but the assignments are good.
创建者 Shashwenth.M
•Dec 19, 2019
Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.
创建者 Min L
•Feb 6, 2019
A very good course to start journey on data science. Good combination of reading, lecture and practice.
创建者 Mikhail E
•Sep 22, 2020
Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue
创建者 Francesco S
•Mar 20, 2018
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
创建者 OUMEYMA F
•Dec 23, 2019
What I loved about this course is the consistency of its content and the quality of its presentation.