FO
Oct 8, 2020
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
RC
Feb 6, 2019
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
By Dennis R
•Sep 7, 2020
Although this course gets a little heavy in math, the reasoning to understand what is happening is justified. Great Course.
By Prashant K
•Apr 21, 2020
The course was one of the best that I have learned. The instructor explained everything from small to big very beautifully.
By Pietro D
•Jan 3, 2020
I find this course interesting and worth the time. There is a good balance between ML theory and implementations in Python.
By Rahul U
•Sep 2, 2019
Very nicely paced course with abundant information about algorithms used in ML. Instructions were clear and easy to follow.
By RAJAT S
•May 14, 2020
I am really very happy ,with this course i learnt basics of Machine learning .It help me to go ahead in Data Science field
By Astry E C
•Oct 6, 2021
Theory of the course are great. The hands on lab really adding value to the theory explained. Totally worth for beginner
By ARPIT C
•Feb 20, 2021
This course is really very helpful for machine learning beginner . It will help to understand the all basics of algorithm
By Amish P
•May 17, 2019
This was one of the best course in Machine Learning for beginners. I would definitely recommend this course to my friend.
By Igor C
•Jun 1, 2020
The best Coursera course I had passed so far!
Special thanks to Saeed Aghabozorgi for perfect materials and presentation!
By Md M T
•Apr 12, 2020
To understand theoretical background along with practical demonstration python lovers can definitely choose this course.
By SIDDHARTH K
•Mar 19, 2020
Wonderful Explanation of Machine learning using python. Also the practical and assignment was very easy to understand.
By Parth P
•Mar 11, 2020
Ploynomial regression, ridge, etc are extremely well explained. LABS are too good to learn. I really enjoyed this a lot.
By Abdallah A A
•Jun 28, 2019
It wasn't easy to implement ML algorithms from first time. but I am sure with more practicing it will be a piece of cake
By Nicole M
•Sep 4, 2023
Perfect to get a first impression of ML and a solid foundation on which you can buold up on with the following courses!
By Hassaan A
•Aug 14, 2023
I really enjoyed this course and I got to learn so much. I look forward to indulge myself even further in Data Science.
By Vu H N
•Jul 10, 2023
Thoughtful, practical but the technical terms should be more specific in explaining. Huge thanks to the course authors.
By Prabhakaran E
•Mar 29, 2020
Course content is good, but it is just to introduce the ML algorithms. More self study is required to attain expertise.
By Aditya C
•Aug 15, 2023
It is the best course for beginners although the mathematical part is not more but the theoretical part was very good
By Stephen E
•Apr 16, 2020
A great introduction to Machine learning and also a great refresher to some statistical concepts that I had forgotten.
By Abilio R D
•Dec 18, 2019
Excellent course. Excellent final peer grade assignment. I have loved all the materials, labs and contents. Thank you!
By Dinesh S
•Nov 27, 2019
well prepared course and also instructor is very good. but it could be helpful if the instructor explain the code also
By Johany A C C
•Sep 13, 2019
This course is a useful tool to create the best model for predict new data that we don't have used previously. Thanks!
By Tiago P F
•Jun 24, 2019
This course is really good. In it I could practice a lot of what I've learned at previous courses and learn much more.
By balla k k
•Mar 19, 2022
Très satisfait de la qualité de votre formation et j'invite aux collègues de venir suivre ces différentes formations.
By Achyuth k
•Jul 1, 2020
Best Machine Learning Course. I clearly understood all the theory concept. The way of explaining the concept is good.