Very interesting subjects like intro with ML, regression model principles , classifications, KNN, Decision tree, clustering , recommender systems with ML.

This course is very well defined, with lots of information and samples for each topic, one after the other. The video are interesting, the instructor is good.

I really like the machine learning algorithms practice and teaching materials. Better to include some new packages (e.g. Tensorflow) to give us a taste of it.

I liked the course.

The setup of the environment for the final assignment was not the smoothest one, but nevertheless I enjoined the study and the challenge.

Its nice to learn Machine Learning with python. Its very informative and useful course. I would highly recommend to everyone todo this course.

Regards,

Arpana

Nice one. it is better if we get class notes in pdf and ppt format. In addition if the final assignment is reviewed by coursera expert, it will be better.

The Byte size videos are really great starter for a beginner in Machine Learning and gives a generic overview of the methods and Tools used in ML and AI.

This is exactly what I was looking for. The course is simple and it gives you enough math to understand what's going on under the hood of each algorithm.

It was a great Course given By IBM and Provided by coursera. I got great Knowledge through it and going to implement in my project work and my career.

One of the best planned courses in Coursera, especially cause of the instructor and the way he handled the course work. This is so pleasing and gripping

Such a useful and informative course. Thank you from Mr Saeed Aghabozorgi and everyone who was involved to prepare this course. I proud of you Mr Saeed.

I have learned a lot from this course. Everything was explained very well and i would recommend this course for those who are learning machine learning.

Great Course for Understanding the Fundamentals.

Could understand the implementation of Various algorithms in Python.

Well structured and Awesome Course.

Fantastic course. In one week, I learnt more about Supervised and Unsupervised ML algorithms than I had learnt in four months of an university course.

Thanks a lot for these information there were really helpful and i have understood those machine learning concepts also how to apply them using python

This was my favorite IBM specialization course, well explained and very interesting.

This course has inspired me to study Machine Learning more deeply.

Exceptionally great course content. The Labs are the place to learn a ton. The course was challenging and I enjoyed it a lot. Thanks Coursera and IBM

Learnt a whole lot of analysis building ML models for different data sets.

Thank you so much for the learning opportunity granted through this medium.

This course covers a lot of Machine Learning elements. The labs are easy to understand and practical. It'sa good practical start to Machine Learning.

This course has helped me a lot in clearing the doubts regarding Machine Learning algorithms. I strongly recommend this course to every ML beginner.

Well done and structured work! I strongly suggest this course. The main teacher is really skilled at explaining such a complex topic in an easy way.

This is one of the best course which I have taken. The basics were explained very greatly, and also it is very simple to understand the course work.

Really good and knowledgeable professor. Very well put together presentations and labs. Everything is just perfect. I highly recommend this course.

The course has introduced me to various tools that are very useful to my training. I could explore using them to make my lesson more interactive.

It was fantastic learning experience knowing some many traditional machine learning statistical tools and the mathematics behind these algorithms