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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
11,630 ratings
1,999 reviews

About the Course

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....

Top reviews

RC
Feb 6, 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.

FO
Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

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1826 - 1850 of 1,988 Reviews for Machine Learning with Python

By Rejoy C

Jul 11, 2020

Its Ok. From Theoretical aspect, its good as a introduction. But for Python, this is not like introductory. Python programming is just reading materials. There are no videos for explanation.

By Berkay T

Oct 28, 2019

So much stuff skimmed, left unexplained. Explanations are very shallow. This course gives you an idea on what you will have to do to tackle ML learning, but I can't say it fully teaches it.

By Jesús G A S

Jun 6, 2019

Good explanations in the video, however the complementary notebooks are lacking in depth explanations. The capstone project is underwhelming, as it only includes classifications algorithms.

By A P

Jun 27, 2019

A really good course, until you get to the final project, which is terribly written. It is unclear what the actual objectives of the final task are supposed to be, and the English is poor.

By Joann L

Mar 29, 2020

Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.

By SAI K P

Apr 27, 2019

the course content is good, the course exercises are great. But there is no responsible human TA monitoring the discussion forum. So if you get stuck in a problem, then good luck to you.

By Christina W

Apr 28, 2020

Assumes a lot of background knowledge around Python. Not a great introductory course for someone with no experience with machine learning, AI, and limited experience with coding.

By SHALIN S

Jun 21, 2021

Contents in labs were just there without explicitly explained in detail. Few codes were written without proper understanding. Overall for understanding, it was good course.

By Omid Z

Apr 23, 2020

The course has some valuable pieces of information to whom have not any background about Python and machine learning. Highly recommended for beginners, not professionals!!!

By Varun V

Feb 13, 2019

This course is definitely not for starters. People should have good knowledge before enrolling in this course and then this can be taken as an excellent refreshing course.

By Chinelo o

Mar 13, 2020

The Labs and assignment had poor instructions that were not easy to interpret. Some of the videos need to be reviewed as they do not match up with the transcribed texts.

By Nicholas S

Mar 25, 2021

A lot of theory, not a lot of examples. The final project had lots of typos, pre-written code needs updates, questions need some clarification. Theory was fun though.

By Sean S

Aug 29, 2020

I feel like the course started in the correct direction but then moved very quickly over some complex issues (i.e the programming behind building the ML models)

By Rana F

Sep 15, 2020

The explanation for each algorithm was good. However, the labs and the last assignment does not really explain what to do and it is all over the place.

By Jonathan M

Mar 27, 2019

Loved the assignments out here. They are awesome. Anybody who knows a little python and dataframe manipulation should be comfortable with this course.

By Mauricio F O M

Feb 26, 2020

It could be more didatic, with more simple (and ready) codes, and also a step by step code block composition to explain better each part of it.

By Meet S

Sep 17, 2020

No Practical Videos on applying Algorithms. Just explaining algorithms. Kindly add practical videos as well. Else, the course is fantastic 👍👍

By Christie P

Aug 5, 2021

A good course! I think it would have benefitted from more explanation of the code in the videos, rather than just jumping into it in the labs.

By wasim m

May 9, 2020

The course is pretty descent but it doesn't teach you how to use python it just give documentation and you have to read it and learn from it

By Muhammad Z A

Dec 23, 2019

It is a very brief course, not recommended for computer science students. If you're from a non-cs background it will be fine for a start.

By Rajshekhar D

Feb 22, 2021

The course gives idea about the things to know choose a prediction algorithm, only thing is - the coding part can be stressed upon more.

By Mohit M

Jul 1, 2020

It covers only the basics of machine learning not all topics are covered in this course. You will need to learn many things on your own.

By Vibha S

Aug 28, 2020

It would have been helpful to have an explanation of t each of the lines in the code, especially the ones that created the graphs.

By Louis C C I

Mar 25, 2021

I learned a lot but wish the coding was explained better. The final project could have been better if it had more instructions.

By Rohith P R

Apr 24, 2020

Need more clarity while explaining the algorithms. Also need video lectures on the code used in the lab and how the code flows.