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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
11,646 ratings
2,001 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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1576 - 1600 of 1,992 Reviews for Machine Learning with Python

By Krishna M

Apr 22, 2019

The course is aptly structured for intermediate learners - just the right level of complexity and ease.

By Aditya S

Jun 29, 2020

More peer graded assignments should be there , so that learners get more practice for building models.

By Brannon C

Jun 21, 2020

Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.

By ABU H M A R

Jan 5, 2020

Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot

By Manal C

Nov 27, 2019

Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)

By Matthew A

Jun 14, 2019

This was a good course - but still could use more hands-on exercises to go along with the lectures.

By 018 A D

May 19, 2020

it was a nice course but there must be a little explanation video of the codes written in the labs

By Brian G

Jun 17, 2019

Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.

By Mitchell H

May 15, 2020

Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.

By Joseph L

Jul 24, 2019

I am enjoying the course so far. Very well explained with a pretty comprehensive course material.

By nilay m

Mar 11, 2019

it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.

By Saptashwa B

Mar 4, 2019

The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon

By ADEJOKUN A

Apr 27, 2020

The underlying concepts of the various algorithms were broken down and delivered with simplicity

By Bala M

Sep 17, 2019

Excellent course explaining all the essential details to kick of the ML journey using Python.

By Neil C

Aug 29, 2020

It was a good course but the final exam could do with more structure around what is expected

By Urs H

Jun 29, 2019

Comprehensive, good to understand, minor errors in the description of the final assignḿent.

By Ciniso M

May 25, 2021

This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.

By Mitanshi K

Apr 30, 2020

Great for beginners. Explains theoretical concepts well but lags on the coding part of it.

By Vinit K S

Apr 8, 2020

It is such a vast topic, It would have really been great if there were few more exercises.

By Daniel J B O

May 26, 2020

A little bit to basic for someone who studied the topics in the past but a good refresher

By Rubén G Z

May 29, 2020

I recommend including more examples and documentation of the metrics in the algorithms.

By Aldy P S

May 29, 2020

This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!

By Stefanos S

Dec 18, 2020

If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.

By Sudhir S

Dec 2, 2018

More videos would have helped to understand concepts of subject better to apply in lab

By Robert F

Aug 2, 2020

The final test portion was a little rough. Finally got the test to work successfully.