Sep 09, 2017
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
Oct 14, 2017
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!!
автор: Yuwei Y•
Jun 04, 2019
I like this course very much. It focuses on ML application and it's easy to understand. Definitely recommend it!
автор: Vasilis S•
Aug 12, 2018
Great course! Assignment 4 is very interesting and allows you to apply all you've learnt in this course at once.
автор: Ryan J•
Feb 11, 2018
Incredibly insightful and helpful for a recent master's graduate looking to augment his skills on the job market
автор: Matthias B•
Aug 05, 2017
Great course, very hands-on. Maybe difficult to follow without any prior knowledge in machine learning, though.
автор: Liu L•
Jan 03, 2019
This course provides a good introduction to using python in machine learning. It helps me to get hands on it.
автор: Mikhail S•
Aug 27, 2017
Thank you for the very well done course! It's really helpful, has a clear explanation of topics and examples.
автор: Nitin k•
Apr 22, 2019
Great Course. Helped me to learn the concepts of Machine Learning and uses of respective Sklearn libraries.
автор: Mohamed A M A•
Jan 19, 2019
The theoretical part is comprehensive with an excellent balance between the theory and practical exercises.
автор: HISHAM I A•
Nov 05, 2018
Excellent collection of various types of Machine Learning Algorithms with visual demonstration and example.
автор: Rahul S•
Dec 08, 2019
This course is Beautifully crafted to cover most of the important concepts of supervised machine learning.
автор: Christian E•
Jan 19, 2019
Content and phase are very good. Very clear explanation of topic by the instructor. Appreciate it so much.
автор: Anurag W•
Jul 18, 2019
This Course really provides great learning on Advance Machine learning techniques with Python application
автор: Matt E•
Aug 29, 2017
Learned a lot in this course! Much better than the previous two and also taught by a different professor.
автор: Miguel Á B P•
Jul 28, 2018
What a challenge. Incredible course, no words. Excellent pedagogy from professor Kevyn Collins-Thompson.
автор: Alejandro R•
Jul 08, 2018
Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.
автор: Mile D•
Oct 17, 2017
After this course you will be able to do your own analysis using machine learning which is really great.
Dec 19, 2019
Seriously THE BEST for gaining a broad knowledge about machine learning techniques in a applied manner.
автор: Min L•
Feb 06, 2019
A very good course to start journey on data science. Good combination of reading, lecture and practice.
автор: Francesco S•
Mar 20, 2018
Excellent couse, I've gained real knowledge and the lecture is very thorough! Challenging and intense.
автор: Oumeyma F R•
Dec 23, 2019
What I loved about this course is the consistency of its content and the quality of its presentation.
автор: Zachary Q•
Aug 19, 2019
Was a great class where I learned to apply existing knowledge about ML to the actual background info!
автор: Muhammad A R•
Sep 24, 2018
Covers most of the basic supervised Machine learning Algorithms in SciKit-Learn from application POV.
Jun 08, 2018
It's very impressive.
I suggest If we add a kaggle competition as a overall summery, that'll be great.
автор: Megan J•
Dec 31, 2018
In depth understanding is required to complete the assignments. Challenging without being demanding.
автор: Evan G•
Jul 24, 2018
Quick way to get exposed to supervised learning algorithms. Lays a nice foundation for ML in python.