This is a fantasy course to know that how to build your first machine learning model.

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

Great course and farily challenging exercises! Thank You for putting this together!!

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

Very informational with good variety of code to take back and apply to projects.

Provides a quick and dirty look at Machine Learning. An easy way to get started.

So far, one of the most fulfilling courses in the Data Science specialization!

This a good course, giving you the inside of the data science problem solving.

This course is demanding, but I feel my own progress which is very fulfilling.

I loved this course. I will absolutely take more courses on Machine Learning.

Much Better than the previous courses ( Regression and Statistical Inference)

Great course. I really enjoyed working on the prediction project at the end.

Great introduction to the subject with good classification examples using R.

Wonderful foundational course to understand the basics of machine learning.

I enjoyed detailed information and was very straight forward to understand.

Very good for anyone wanting to get into the field of Data Science using R

I have learnt a lot of thing and very happy to have followed this course

This course is a good introduction to machine learning algorithms with R

In my opinion, the best course of the entire Data Science Specialization

Thank you son much!!!!

I really like the course.

It help me in my job =)

Overall was a great course for an overview of the techniques available.

It was very interesting. It sparked the interest to deepen this topic!

It gets harder but fun...R, as well Python and Matlab, can do AI well.

a quick introduction to the basic algorithms for machine learning in R