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.
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.
By Krishna M•
The course is aptly structured for intermediate learners - just the right level of complexity and ease.
By Aditya S•
More peer graded assignments should be there , so that learners get more practice for building models.
By Brannon C•
Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.
By ABU H M A R•
Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot
By Manal C•
Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)
By Matthew A•
This was a good course - but still could use more hands-on exercises to go along with the lectures.
By 018 A D•
it was a nice course but there must be a little explanation video of the codes written in the labs
By Brian G•
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.
By Mitchell H•
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
By Joseph L•
I am enjoying the course so far. Very well explained with a pretty comprehensive course material.
By nilay m•
it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.
By Saptashwa B•
The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon
By ADEJOKUN A•
The underlying concepts of the various algorithms were broken down and delivered with simplicity
By Bala M•
Excellent course explaining all the essential details to kick of the ML journey using Python.
By Neil C•
It was a good course but the final exam could do with more structure around what is expected
By Urs H•
Comprehensive, good to understand, minor errors in the description of the final assignḿent.
By Ciniso M•
This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.
By Mitanshi K•
Great for beginners. Explains theoretical concepts well but lags on the coding part of it.
By Vinit K S•
It is such a vast topic, It would have really been great if there were few more exercises.
By Daniel J B O•
A little bit to basic for someone who studied the topics in the past but a good refresher
By Rubén G Z•
I recommend including more examples and documentation of the metrics in the algorithms.
By Aldy P S•
This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!
By Stefanos S•
If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.
By Sudhir S•
More videos would have helped to understand concepts of subject better to apply in lab
By Robert F•
The final test portion was a little rough. Finally got the test to work successfully.