Machine Learning with Python

Useful final project.

Concise presentation,brief and to-the -point explanations, great course for an intermediate ML developer looking to brush up their skills.Programming exercises should me more detailed.I liked the concept of peer graded final project allowing us to review the projects of other learners as well.

The part that I thought isn't great is the use of other students to "grade" the final project.

The final project was a good way to put everything we learn to practice.

Some frustration that the final project instructions were not completely clear.

Very informative and amazing Excellent overview in Machine Learning While the final project is again terrible (like so many other courses), the content of this course is great.

I am very frustrated with the course's final project.

Not every new-to-stats understands your misleading instruction of the final project or can be capable of grading according to what is actually correct.

The final project is nowhere near the actual course syllabus.

But you ask them in the final project.

The final project is ill-structured.

The final project will be a challenge for what we have learned.I strongly recommend this course.

Excellent course Very nice course...learned a lot Dear all.It would be grate if you will add roc-curver and ordinal regression examples into this corse.Sincerely, Sergey Kutenko A great introduction to Machine Learning with Python.

this is amazing course for machine learning with python Superb course for machine learning beginners It is one of the best introduction course to Machine Learning.The material is well explained to someone with a beginner level of understanding to Statistics and Machine Learning.All the material is presented in a way that is easy to understand, without leaving out the details.

A must enroll for getting a good start on machine learning with Python The peer-graded assignment is a mess - especially if you try resubmitting work.

An Excellent Course for Machine Learning with Python Good for beginners.

Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...) A very nice hands-on tutorial in machine learning with Python.

Machine Learning with Python is highly informative and very well presented.

Machine Learning with python provided by IBM is very good and basic course for beginners and very helpful .

Very cool machine learning with Python.

Its nice to learn Machine Learning with python.

The Machine Learning with Python course was very challenging.

Very well explained with a pretty comprehensive course material.

Very good, the basics very well explained.

Very interesting subject, and very well explained.

Some of the lectures did not break down real world data sets or examples as much as I would have liked.

Additionally, it would be nice to have more real world data set examples or tutorials to study or analyze with Python.

It provides with Mathematical equations for all the algorithms taught and coding is done with real world cases as well.

For real world problems, this module is probably the most useful so it would be beneficial to include more practice on clustering for examples.

Very good I love this course because this course learn me a lot I think which will help me in making real world project.

at the point someone takes this class, they've been through 7 other classes in the IBM Data Science track, and only 3 of them have presented enough and important enough info that I've even bothered to keep notes for future reference.

Well created and covers major aspects of Datascience Excellent course Wonderful course to learn several techniques and easy to follow Great Course!

Instructions were clear and easy to follow.

thank you so much for this course, I really enjoyed this course.

Good for beginners I really enjoyed taking this course.

Excellent course, going into plenty detail with regard to different modelling approaches, I really enjoyed it.

I will be doing Andrew NG's course on YouTube now.. awesome I really enjoyed this course.

But if you're like me and have done the other (comparatively better) IBM data analysis courses i guess you have no choice but to do this one in order to get the final certificate.

The best way to learn data analysis is to implement or do the real stuff by ourselves.

But I personally suggest you to take the Data Analysis with Python course first.

Instead of 4 classes that effectively wasted all of our time, (including the two whole intro classes) if the background mathematics is important, (again, I would venture that, to a non-expert-level general practitioner, which this class is aimed at, it's just not) move some of it out of this class and into some of the others so that we don't end up with effectively two important classes out of 9 - the Data Analysis with Python class, for being the most challenging mechanically, (i.e.

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

Strongly recommended for people who know Python and want to get started on machine learning.

Great Course to get started in machine learning A lot of ground is covered here.

However, the labs and final exam are not well designed.

Overall, this is a great course The course was very well designed and the content was very precise and easy to understand.

I definitely recommend taking the course.

I would definitely recommend this course to my friend.