great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
By Ahmad A•
Excellent Course each topic is both theoretically as well as as practically explained. Really a good course
By Akshay S T•
Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module
By Nitin K•
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
By Mohamed A M A•
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
By HISHAM I A•
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
By Rahul S•
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
By Christian E•
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
By abdelrahman a•
the most interesting thing in the course was treating the students as if they are already data scientists
By Anurag W•
This Course really provides great learning on Advance Machine learning techniques with Python application
By Matt E•
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
By Fettah K•
Taking these lessons from some of the world's most prestigious universities and professors is priceless.
By Alexander A•
Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants
By Miguel Á B P•
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
By Alejandro R•
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
By Mile D•
After this course you will be able to do your own analysis using machine learning which is really great.
Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.
By Min L•
A very good course to start journey on data science. Good combination of reading, lecture and practice.
By Mikhail E•
Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue
By Francesco S•
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
By OUMEYMA F•
What I loved about this course is the consistency of its content and the quality of its presentation.
By Zachary Q•
Was a great class where I learned to apply existing knowledge about ML to the actual background info!
By Muhammad A R•
Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.
It's very impressive.
I suggest If we add a kaggle competition as a overall summery, that'll be great.
By Megan J•
In depth understanding is required to complete the assignments. Challenging without being demanding.
By Evan G•
Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.