学生对 密歇根大学 提供的 Applied Machine Learning in Python 的评价和反馈
课程概述
热门审阅
AS
Nov 26, 2020
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.
OA
Sep 8, 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
1401 - Applied Machine Learning in Python 的 1425 个评论（共 1,451 个）
创建者 Om R
•Apr 26, 2020
The course is great, but need certain improvement for assignments and quizzes. The facts should be checked multiple times.
创建者 Darshan S
•Dec 31, 2019
Not enough real life examples throughout the video, makes it very hard to concentrate during the whole lecture.
创建者 Mauricio A E G M
•Nov 17, 2019
This course is not useful to learn from scratch, but has some good things, for example the final assignment.
创建者 Nikola G
•Jan 14, 2019
Really didn't like the quiz parts of the course. If it was up to me I would do thorough revision of these.
创建者 Chirag S
•May 24, 2020
The content was less informative and audio quality was poor. However, assignments are fun completing.
创建者 Rohit S
•May 21, 2020
The online grader needs to be updated as there is constant error showing up though our code is right
创建者 Gilad A
•Jun 27, 2017
The last assignment was super. apart for it, the assignments and the course were too easy
创建者 Sai P
•Jun 3, 2020
There were a few corrections made during the videos which ended being quite confusing.
创建者 Philip L
•Oct 31, 2017
The assignments are extremely difficult, professor is a bit dry during lectures.
创建者 Dileep K
•Oct 3, 2021
Although content is really helpful, assignment part has many technical issues!
创建者 Sundeep S S
•Apr 4, 2021
Only classification based ML is covered. Regression based ML is non-existant.
创建者 Iuri A N d A
•Aug 4, 2021
It has potential, but the assignment evaluation had a lot to be fixed.
创建者 Pakin P
•Jan 10, 2020
How can i pass without reading discuss about problem with notebook
创建者 Hao W
•Aug 27, 2017
The homework is too easy to improve our understanding of ML
创建者 M S V V
•Jun 29, 2020
Too much of information compressed within a short span.
创建者 José D A M
•Jun 21, 2020
Too fast, yet too difficult. Needs deeper explanation.
创建者 Navoneel C
•Nov 21, 2017
Nice and Informative but not practically effective
创建者 Priyanka v
•May 8, 2020
if it is more detailedthen it will be more useful
创建者 Sameed K
•Mar 15, 2018
have to figure out a lot of things on you own.
创建者 Andy S
•Jun 4, 2019
It could have been better with more examples.
创建者 Syed S
•Apr 12, 2020
The explanation could have been much better.
创建者 Sagar J
•Mar 21, 2021
Good start but i was very boring later on.
创建者 Jeremy D
•Jul 10, 2017
The topics were good, but too many were d
创建者 Ryan S
•Dec 12, 2017
Homeworks are inconvenient to submit
创建者 PIYUSH A
•May 16, 2020
The narration was a bit boring.
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