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学生对 IBM 提供的 使用 Python 进行机器学习 的评价和反馈

8,010 个评分
1,220 条评论


This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....



Feb 07, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.


Aug 04, 2019

The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.


951 - 使用 Python 进行机器学习 的 975 个评论(共 1,224 个)


Mar 10, 2019

Excellent course . Concepts of machine learning algorithm were explained clearly and easily.

The interface with IBM notebook could have been much smoother ,


Oct 25, 2019

Would like to say that it would be of great help if we had some more practice on coding. But overall a wonderful course and helped me learn a lot. Thanks!

创建者 Nermin K U

Nov 28, 2019

The final project is ill-structured. It is hard to grade because you need to go back and forth in the codes. It makes both doing and grading harder.

创建者 Aftab R

Jan 28, 2020

The course appears to assume good competency in Python and does not provide much training on Python. This should be highlighted to students upfront.

创建者 Sherbulandkhan B

Apr 26, 2020

Course is very well structured. Some extra guidance and assistance would be nice with the Peer-graded assignment as it gets bit tricky and complex.

创建者 Luis D C

Jan 23, 2020

Learned a lot in this course, I would've liked there were more exercises throught the videos rather than some questions at the end of the section.

创建者 Tarit G

Nov 29, 2019

It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.

创建者 Laura S M D

Dec 14, 2019

Un curso muy completo, aunque mejoraría un poco los ejercicios, que al estudiante se le diera más importancia en la resolución del programa

创建者 Jacqueline ( G

Aug 05, 2019

It's so bad when someone reviews your assignment and gives you an unfair score. But this happened a lot because of this peer review system.

创建者 Muhammad R F D

Mar 04, 2020

Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.

创建者 Gaurav S

Jul 19, 2019

The Course Could have been a little better if there were more theory and more illustrations at time a disconnect was felt in the Course


May 03, 2020

Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic

创建者 Mallangi P R

Jan 27, 2020

I really liked the course content, way of teaching and assignments.

This will definitely help a beginner in data analysis to start with

创建者 Ankit M

Jul 25, 2019

Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.

创建者 Raffaele N

Sep 13, 2019

Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.

创建者 Sadanand U

May 02, 2019

Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.

创建者 Mohitkumar R

Jan 12, 2019

Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course

创建者 Baptiste M

Nov 18, 2019

Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.

创建者 Eric H

Dec 20, 2018

After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

创建者 Raviteja G

Nov 22, 2019

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

创建者 Stephane A

Apr 29, 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

创建者 Ravindra D

Nov 19, 2019

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

创建者 Ankit

Mar 15, 2019

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

创建者 Daksh J

May 19, 2020

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

创建者 Chandrakanth R

May 18, 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.