Great course. Some courses are too superficial and lack any depth. Others go too far into the weeds. This one had a good balance. Highly recommend.

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.

Very very instructive and excellent driven for learning the most well-known Machine Learning algorithms using Python. I would strongly recommend it

Very well structured, Jupyter notebooks are provided as a support including code and explanation/summaries of the used algorithms. Highly recommend.

Best Machine Learning Course!.

But make sure to learn basics, data visualization, and data manipulation with python before enrolling in this course.

This course allowed me to implement the already-known machine learning algorithms with Python language which I didn' t know! This helped me a lot!!!

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.

It would more amazing if the instructor would share snippets and explain the code along in ppt rather than making a separate lab for implementation

The course contents were just right to follow easily, and practices were good enough to learn new skills. Thanks to the instructors and the team.

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

Great course! Enjoyed both videos and practice labs. Strongly recommended for people who know Python and want to get started on machine learning.

Probably the best course in the specialization. I really enjoyed the labs. A lot of useful information. Many thanks to the authors of the course

Great introduction to Machine Learning algorithms. Hands-on labs are perfect to see them in action and the whole content is very well explained.

I would recommend data science enthusiasts to take this course. I got a deep understanding of machine learning by working on real-life datasets.

This is the best course in the IBM Data Science series, the course teacher is very good in communicating principles and explaining what matters.