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学生对 密歇根大学 提供的 Applied Machine Learning in Python 的评价和反馈

4.6
6,766 个评分
1,219 条评论

课程概述

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python....

热门审阅

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

筛选依据:

1151 - Applied Machine Learning in Python 的 1175 个评论(共 1,200 个)

创建者 vikram m

Aug 26, 2019

It's a good course, but a quick one. One needs to have a beforehand knowledge of all the algorithms as they are not discussed in details. State of the art is not mentioned. Implementation and best practices are present, along with pros and cons of each algorithm

创建者 Claire Z

Jul 20, 2019

The course is quite high-level. There is nothing wrong with an applied course being high-level. The material is easy to follow, the quiz is a bit challenging but the homework assignments are quite easy to pass. I prefer a course with more fundamental details.

创建者 Raymond C

Jan 28, 2019

The course is too tight, just 4 weeks cannot master the machine learning. This course can splitted into 2, in order to capture more on the deep learning and unsupervised learning, which are important, but being categorized as option in the course.

创建者 Tracy S

Jul 31, 2017

the second assignment was a little beyond what was taught in the lecture. others are fine.

big suggestion: please please have a better auto-grader. Most of my time was spending on how to battle the auto-grader instead of coding...

创建者 Sukesh K

Jun 14, 2020

Course is well structured, course material also is well defined and learning is excellent. Though Instructor's communication is very laidback. Should have more engagement in tone and connect with enthusiasm.

创建者 Jan

Aug 07, 2017

Quick tutorial-like overview. Autograder is not too verbose and as a result I spent some time struggling with debugging the code rather than figuring out how to solve machine learning related problems.

创建者 Fernanda T

Aug 05, 2020

Good content and I learned a lot. However, the instructor made too many mistakes during the lectures and the assignments also have mistakes that need to be fixed by the students.

创建者 Ketan L

Jun 04, 2018

Follow the course with introduction to ML with python to have descent understanding. Instructor won't be able to keep one interested for long. Exercises could have been tougher.

创建者 Victor E

Aug 16, 2017

Two point: 1) you can learn a lot here, 2) imagine you are shown a hammer but never explained how to hit a nail. Two previous courses in the specialization do both.

创建者 Kareem H

Mar 03, 2020

Course instrutor and materials are needed to be improved as they are very poor

Assigments\Quizes are very good and they are the mainly root cause for this rating

创建者 Thomas B

Jul 07, 2018

Some very good practical advice like dummy testing or data leakage issues Some trivialities and repetitions. Python code could have been a bit better commented

创建者 BIRENDRA H S

Jun 13, 2020

there should be some low level usage of sentences for a intermediate programmers,most of times it bounces up the mind ,not able to get the required concept

创建者 Baizhu

Jul 05, 2017

Know some existing machine learning functions and packages from sklearn, but really don't know how to improve prediction accuracy within each function.

创建者 Matteo B

Aug 10, 2019

Assignments are not really supported by the material provided (videos). The level is not balanced. Some bugs in the assignment code as well

创建者 Berkay A

Jul 15, 2020

This course seems hard and actually I did not like the syllabus so much. Assignments were so hard and there were some issues in Notebooks.

创建者 Halil K

Sep 27, 2019

Good content, bad teachng staff. Though the discussion forum contributors were very helpful and should be commended for their efforts.

创建者 Ankur P

Mar 30, 2019

Unsupervised learning was missing. The codes written in the lectures were not explained clearly. Some topics looked unimportant.

创建者 James F

Feb 13, 2018

Good overview of methods. A bit too intense at times though, may have been better to really focus on a couple of key concepts.

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