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
SA
Aug 14, 2019
- more technical materials, comparisons and better classified details should've been provided, especially to be more proportional to the assignments.-again, subtitles were full of typos
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!
426 - Applied Machine Learning in Python 的 450 个评论(共 1,599 个)
创建者 Nikita
•Jun 13, 2020
Very good explanations. Need full attention. Quizzes and assignments are really challenging. Good learning experience.
创建者 Dave C
•Oct 24, 2019
Very enjoyable, informative and I really believe I can go on and build my own ML system with confidence. Recommended.
创建者 SUDHAKAR M S
•Oct 16, 2019
Great Course. Helped to understand the basics of machine learning, the algorithms and their applications using python.
创建者 Pratyush L
•Sep 28, 2018
The course gives a good overview of the concepts and a great paced programming assignments to understand the concepts.
创建者 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.
创建者 Angelika E
•Oct 20, 2020
Excellent! I learned a lot in this course. Machine learning algorithms were clearly explained and easy to understand.
创建者 Saiapin A
•Jul 23, 2017
This is a great course for those who want to get acquainted with machine learning basics as well as its applications.
创建者 Sergio A D A
•Aug 20, 2020
Excellent course, for understand howw work whit dataset and throw the all ways in Machine Learning and Deep Learning
创建者 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.
创建者 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.
创建者 akshat g
•Sep 15, 2020
It was great learning, Though I had knowledge of this but some additional points of knowledge have made me better
创建者 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.
创建者 Dindayal P
•Jul 20, 2019
The overall course structure was very good. Also the instructor was good at his knowledge and explaination skill.
创建者 Pooja C
•Jun 16, 2018
Helped me understand the fundamental concepts and practice them with assignemens. I highly recommend this course.
创建者 Janesh D
•Nov 13, 2017
It was a great course. This course covered a lot of material and Professor explained every concepts very clearly.
创建者 Deepak G
•Jun 24, 2020
A very nice course to get involved with the data from good resources and with great insights to draw from those.
创建者 Yuwei Y
•Jun 4, 2019
I like this course very much. It focuses on ML application and it's easy to understand. Definitely recommend it!
创建者 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.
创建者 Ryan J
•Feb 10, 2018
Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market
创建者 Matthias B
•Aug 4, 2017
Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.
创建者 Kamran J
•Jun 29, 2022
It is a great opportunity to participate in this course for students intersted in machine learning with Python.
创建者 Diego C
•Mar 31, 2021
Very good introduction, a lot of information but you feel you are learning the foundations of machine learning.
创建者 Andrii T
•Jul 13, 2020
Excellent course. I'm particularly thankful to the instructor, who was warm-hearted and explained well enough.
创建者 Siddhant t
•Aug 9, 2021
Amazing ocurse focussing on handon application of machine learning alorithms and tools for model evaluation.
创建者 Liu L
•Jan 2, 2019
This course provides a good introduction to using python in machine learning. It helps me to get hands on it.