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 Matt E•
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
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.
By David R•
Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.
By Yashar Z•
This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.
Course is really good. It is good to learning. But needs to add little more mathematical concepts.
By Remy J•
Fantastic course. Contains a wealth of information and provides challenging problems and quizzes.
By Lorena G•
Still some hard for me both the quiz and assignment, however it is interesting and worth studying
By Kavindu W•
Excellent course. Some of the functions used in the course are outdated and not working anymore.
By Laby D C•
Ce cours vraiment et m'a été d'une très puissant outil d'aide dans ma formation en Data Science
By Dr. R R K•
Week 2 assignment is hard to solve. My appeal is to review the questions again and make it easy.
By Nitin K•
Well structured course that gave a good insight on applying Machine learning to real life cases.
By Jiangming Y•
This is an excellent course, from which I have learnt a lot about machine learning with Python.