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.
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.
por NASIR A•
This course is one of the best course i have taken on coursera, it not only treats you as a beginner but also provides the detail technical details so that one can learn more on his on. The lectures are clear and quiz are tough, Labs give a thorough overview of each topic. I would like to thank you the instructor for his effort.
por Pola A N J•
One of the best courses in this certification.
The best part of the course is the labs.. very well structured.
In this certification so far, the machine learning with Python (course 8) and visualization with python courses (course 7) are the best
The assignments are good and there is very little 'spoon-feeding' so its more fun.
This course is truly GREAT. I had never dreamed of being to understand what it means to do machine learning as I do not come from a computer science background. In my part of the world, even graduates have so great a problem with technology and I am just so happy to have my hands on this course. The lessons are invaluable.
por Xi W•
Thanks for providing this excellent course. It explains things clearly and step by step. I learned a lot from this course. There are some minor errors in the exercises. It would be good if the team updates the exercises codes more frequently. And it would be nice if we will have a standard answer for the capstone project.
por Siva s•
I have found this course very helpful - in terms of the concepts explained in the video for the different machine learning algorithms.
IBM Watson studio is very useful tool introduced through this course.
The assignment notebooks had guided instructions - on how to apply the learnt coding techniques and various ML models.
por MICHAEL K•
The Machine Learning course was made practical with hidden mathematics and applied to solve real world research problems. The instructor merged the theories with labs to simplify difficult part of Machine Learning. I recommend this course for any one interested in using predictive modelling to solve research questions.
por kalidindi s v•
Before joining this course I thought ML is so tough. But after this course I got a overview of some of the concepts of ML and not only overview, they also provided the lab sessions for every concept they teach. I suggest the beginners to join this because they get the complete overview of Machine learning. Thankyou..
por Rafael A C•
Presentations are very well designed. I have teaching experience and I can tell you that my style is great for illustrative purposes.
I learned to conceptually understand the mechanism and purpose of the models presented in Machine Learning. I feel like I can do things that were unthinkable for me before. Thanks IBM!
por Abhijit S•
This introductory course is really very good to understand the basics as well as methods to perform activity. Would recommend highly to anyone wish to learn ML in Python. The explanation, bit of maths and code were flawless and explained well in video as well as in code (most of code is explained in sample notepad).
por Daniel K•
The information in this course is laid out in a easily digestible format that makes it possible to fully own the knowledge that you gain and put it to the test. I appreciate that the videos are straight to the point and that the jupyter notebooks illustrate varying techniques for cleaning data. Tremendous value.
por Amy P•
Having worked my way through the IBM Data Science courses, this one was the "pay off" - it was so cool to finally apply more sophisticated techniques to real world data sets. The labs were fantastic. Highly recommend this course to anyone interested in learning about the most popular machine learning algorithms.
por V M R•
Complex concepts of machine learning algorithms are explained clearly with an illustration. Learner definitely have confidence in Machine learning after this course completion. A practical assignment work is really helped the learner to do the implementation of classifier model of their own and gain confidence.
por Shakshi N•
This course has been awesome. I have been doing ML Work for my college for quite some time, but never understood what goes in it, and kind of surfed through the net and just did the work. But this course has given me in depth knowledge of the logic that goes behind these algorithms and for that I am very glad.
por Mayank P•
This course offers a simple and effective experience. I learnt how to find the most accurate algorithms in the scenarios. Most importantly, the Jupyter notebooks provided are although optional, but you should study them thoroughly. They might seem difficult on an overview, but are very easy to understand.
por Surendrabikram T•
It could be even better if programming assignment were provided in each week but still, final assignment was of great quality and I found it really engaging. The program introduces you to scikit learn which is again a wonderful advantage of taking this program. I am giving this course 5/5.
por Li G•
A very good course for beginners. It's quite practical and helpful. If it can go to more details of the machine learning modeling algorithms, it would be better. I get an overall picture of simple machine learning tasks but cannot handle real work task yet. The real world is much more complicated.
por Christopher A B•
The course was quite challenging. I especially appreciate how the labs required significant modification and deep understanding of the underlying motivation for the code in order to complete the final project for the course. Thanks to the lab authors and instructors for some high-quality demos!
por Luis M•
The course was thorough and a great introduction to machine learning. The capstone project was challenging and required me to have a good working knowledge of the various models. This has been the most intensive course, so far (course 8 of 9), in the IBM Data Science Professional Certificate.
por Priyansh S•
The course is really good for machine learning beginners. I would recommend everyone to take this course as it gives you all the basic knowledge and working of ML. It is fun to do with the Jupyter notebook tool which gives a great actual experience. Thanks a lot. This course helped me a lot.
por Srikanth G•
It is indeed a very thorough course, yet easy to understand. The animations and visual graphics made it an engaging and pleasurable experience. Learning classification, clustering and regression was made easy in such a way, that I could do it all over again without hesitation. Keep it up!
por Thierry P•
BEWARE : student access to ibm cloud for last project lab is limited : I have reached the max usage working 10 days for 2 hours. I would prefer have been warned at the begining of the course about this limitation instead of discover it at the end when I needed to finish my last project
por Luís M B d M•
I really loved doing this course and I definitely recommend it to anyone with a minimum level of machine learning algorithms who is looking to gain a better and more comprehensive understanding of this subjects. The instructors are awesome, as well as the course materials and videos.
por Jeff P•
I think it would be beneficial to talk about neural networks somewhere after the gradient of steepest descent section. I did appreciate the course talked about many other ML algorithms that are not typically covered by other programs - and the lab notebooks are extremely valuable.
If more knowledge on 1) how to find the optimal depth value for decision trees and variables for other models; 2) explanations on parameters used, will be elaborated in hands-on lab notebooks, it would be better. Those are important to new beginners with zero idea on ml models.
por Yi Y•
It is one of the best introduction course to Machine Learning.
The material is well explained to someone with a beginner level of understanding to Statistics and Machine Learning.
All the material is presented in a way that is easy to understand, without leaving out the details.