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.
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.
von Manal C•
Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)
von Matthew A•
This was a good course - but still could use more hands-on exercises to go along with the lectures.
von 018 A D•
it was a nice course but there must be a little explanation video of the codes written in the labs
von Brian G•
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.
von Mitchell H•
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
von Joseph L•
I am enjoying the course so far. Very well explained with a pretty comprehensive course material.
von nilay m•
it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.
von Saptashwa B•
The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon
von ADEJOKUN A•
The underlying concepts of the various algorithms were broken down and delivered with simplicity
von Bala M•
Excellent course explaining all the essential details to kick of the ML journey using Python.
von Neil C•
It was a good course but the final exam could do with more structure around what is expected
von Urs H•
Comprehensive, good to understand, minor errors in the description of the final assignḿent.
von Ciniso M•
This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.
von Mitanshi K•
Great for beginners. Explains theoretical concepts well but lags on the coding part of it.
von Vinit K S•
It is such a vast topic, It would have really been great if there were few more exercises.
von Daniel J B O•
A little bit to basic for someone who studied the topics in the past but a good refresher
von Rubén G Z•
I recommend including more examples and documentation of the metrics in the algorithms.
von Aldy P S•
This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!
von Stefanos S•
If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.
von Sudhir S•
More videos would have helped to understand concepts of subject better to apply in lab
von Robert F•
The final test portion was a little rough. Finally got the test to work successfully.
von anas m r•
A great introduction for ML, but you have to exert effort to understand the lab codes
von Meijuan Z•
Should include more details of ML algorithm, but is nice to people who are new to ML.
von Sadabrata K•
Random Forest Classifier is not included. Everything else is very good. Nice course.
von Devraj S•
It will be more helpful if this course has a more detailed explanation of the codes