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!!
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
创建者 Peter D•
Nov 06, 2017
Nice pragmatic approach how to apply machine learning. Compelling examples, datasets and useful tips how to visualise features.
创建者 Manoj K K M•
Jun 30, 2018
For applied machine learning, outstanding. It could be improved with bit more theory, which gives more insight to the concept.
创建者 SHRISH T•
Aug 20, 2017
Very good course, for people who want to apply Machine Learning without worrying too much about the theoretical aspects of it.
Jun 09, 2017
Very well designed courses! There are many materials to go in depth even if you have done Python Machine Learning in the past.
创建者 Roger A G•
Jun 03, 2019
Excellent course! It teaches you the basics of Machine Leaning, and merges the knowledge already acquired in the first module
May 03, 2019
Had all the basics of Machine Learning algorithms, but they need to update the syllabus with some trending boosting concepts
创建者 Ivan Y•
Oct 24, 2018
Great! loved the final project, which is a machine learning project that you can actually put on your resume and talk about!
创建者 Muhammad S•
Apr 01, 2020
I am very satisfied with this course. I learnt a lot of techniques from the course that I can apply in my research project.
创建者 Hrishikesh B•
Mar 14, 2019
very good course for intermediate level learners .learned a lot in such a short time.thanks to prof.Kevyn Collins-Thompson.
创建者 Bui T D•
Oct 30, 2018
It is a great course with best practices. Thank you for your time and consideration. I learnt many things from your course.
创建者 Mkhitar T•
Aug 13, 2020
If anyone wants to gain practical skills in Machine Learning with Python, this course for them. Thank you for this course.
创建者 Martin U•
Jan 11, 2019
Tough class, learned not to give up and keep trying. Even went back and redid some quizzes in order to get a better grade.
创建者 Boyan Z•
Dec 16, 2019
A very useful course that gives very good overview for the applied side of machine learning for solving various problems.
创建者 TEJASWI S•
Aug 01, 2019
Concepts were clearly taught and helped me gain knowledge in techniques used in machine learning. Recommend it to others.
创建者 SIMRAN S•
Sep 06, 2020
An apt course who want to become Data scientist beautiful Basics of Machine Learning which is one of major topics in it.
创建者 Oguzhan O•
Jul 17, 2020
First assingment is kinda off the track with the topic mentioned in first week. overall very good and structured course.
Mar 23, 2019
Excellent course, but be ready to spend some time on debugging the automatic grader especially for the final assignment!
创建者 Sandeep S•
Aug 03, 2017
Covered a lot of topics. Helps a beginner to get a good overview of the various tools and concepts on Machine Learning.
创建者 João R W S•
Jul 04, 2017
Excellent course! Learned a lot both about the concepts and how to apply the methods using scikit-learn. Very good job!
创建者 JAYESH R S•
Jun 27, 2020
Awesome course really loved it, especially the visualization techniques used to represent machine learning algorithms.
Jun 13, 2020
Very good explanations. Need full attention. Quizzes and assignments are really challenging. Good learning experience.
创建者 Dave C•
Oct 25, 2019
Very enjoyable, informative and I really believe I can go on and build my own ML system with confidence. Recommended.
创建者 SUDHAKAR M S•
Oct 16, 2019
Great Course. Helped to understand the basics of machine learning, the algorithms and their applications using python.
创建者 Pratyush L•
Sep 28, 2018
The course gives a good overview of the concepts and a great paced programming assignments to understand the concepts.
创建者 Emanuele P•
Oct 25, 2017
It gives you the methods and the essential knowledge to build a learning pipeline using Python and SciKit-learn tools.