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!!
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
创建者 Ahmad A•
Excellent Course each topic is both theoretically as well as as practically explained. Really a good course
创建者 Akshay S T•
Very Intuitive and helpful course for clearing concepts of machine learning and Python's SciKit Learn module
创建者 Nitin K•
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
创建者 Mohamed A M A•
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
创建者 HISHAM I A•
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
创建者 Rahul S•
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
创建者 Christian E•
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
创建者 Anurag W•
This Course really provides great learning on Advance Machine learning techniques with Python application
创建者 Matt E•
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
创建者 Alexander A•
Excellent Course. The only one problem is the duration of videos. The codes in Jupyter are very elegants
创建者 Miguel Á B P•
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
创建者 Alejandro R•
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
创建者 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.
创建者 Min L•
A very good course to start journey on data science. Good combination of reading, lecture and practice.
创建者 Mikhail E•
Great course, though was a bit difficult for me, as I wasn't very familiar with math side of the issue
创建者 Francesco S•
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
创建者 Oumeyma F R•
What I loved about this course is the consistency of its content and the quality of its presentation.
创建者 Zachary Q•
Was a great class where I learned to apply existing knowledge about ML to the actual background info!
创建者 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.
创建者 Megan J•
In depth understanding is required to complete the assignments. Challenging without being demanding.
创建者 Evan G•
Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.
创建者 David R•
Nice survey of machine learning techniques and tutorial on the scikit-learn toolbox. Very helpful.
创建者 Yashar Z•
This course is one of the best courses for ML. The teacher teaches concepts clearly and completely.