It was a great course to begin Machine Learning roadmap...

I learned Regression, Decision Tree, Support Vector Machine, KNN in classification topic,

and k-means in clustering topic.

I highly recommend this course for you.

The course is really good and comprehensive. You need to have some prerequisites of data visualization but the best aspect of the course is the instructor who teaches everything very smoothly and clears all your doubt

Thanks a lot to the Course Mentors...Highly Informative and explained in a detail.I wish there should be little more elaboration needed as this is completely new for Industry.More Practical Assignments should be given

The ideal course for individuals who are passionate about machine learning and fall within the beginner to intermediate skill level would offer top-notch instruction coupled with engaging and practical lab exercises.

Great course that serves much knowledge for newcomers to the data science field about machine learning and its many algorithms. It is a bit challenging on the peer assignment section but the knowledge is well earned.

The best part of this course is the final project. This is because they provide you with working code in the assignments, but you need to adapt it to your needs in the final project. The rest of the course is okay.

Crisp and clear course. Professors, up to the point and very clear explanation. The provided notebooks were super helpful for the final assignment submission. Everything was just awesome and organized well in detail.

A wonderful course for beginners. Linear Regression, Classification (K-NN, DT, SVM, logistic regression) and Clustering algorithms (K-means, Hierarchical, DBSCAN) with its respective Python codings clearly explained.

This series of courses is great. Before enrolling, I imagined that data science is only about machine learning. Now I understand there are a lot of things to do. Especially, visualization and presentation was tough.

I was working in an organization on a project related to predictive modelling using python. This course has helped me a lot to increase my knowledge and assisted me in completion of the project in a very smooth way.

great course! my mainly consern today is about my time. There are lots of courses out there and its dificult to choose one to invest your time on. This one is, in my view, is perfect: Teaches a lot in a concise way.

It was a nice experience I was able to learn a lot. This course increased my knowledge it was a informative course I think everyone who wants to go into the field of artificial intelligence should take this course

ABSOLUTELY FANTASTIC! WELL DESIGNED COURSE FOR BEGINNERS. THIS COURSE HAD GIVEN ME A SOUND INDERSTANDING OF THE FUNDAMENTALS OF THE MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS.

KUDOS TO CREATORS! GREAT WORK!

From Nowhere to somewhere. Definitely worth, I was afraid of Python, but with the professor's teaching, and little bit of youtube studies, I am some how confident that I can handle data in python. A big thumbs up!

Learning machine learning without stress. The essential models including regression, classification, clustering and recommender system are introduced with application. Hand-on section let you practice the tools.

It is a very great course to start. Theory lectures are very easy to understand and the practical labs provided gives you the insights of it and really boosts the confidence. Very comfortable to watch and learn.

its the perfect course to start the journey of worlds most demanding technology. well structured and organised with good knowledge and it will definitely increase knowledge about ML, no matter how much you know.

A pleasant overview of ML algorithms and using the Scikit-learn library. I recommend one take notes during the concise lecture videos, they are needed for the quizes, test, and overall learning-- stay enguaged!

One of the best course, i have taken till now, Including lots of important content related to machine learning, I would recommend this course to a beginner in machine learning. I learned a lot from this course.

A great course to get how to code AI, a lot of practice but without forgetting some theory, and even if you like the theory side and maths behind each algorithm, it tells u the name of things he didn't explain

I've learn about different machine learning techniques like regression, classification, clustering and recommendation system. I've suggest this course to everyone who will build their career into Data Science.

I really enjoyed this course. It helped to understand different machine learning projects. Also, I became familiar with a lot of libraries in Python which are very useful in coding machine learning algorithms.

I liked it! The most complex and interesting topic. Good videos, very clear and visual explanation and nice voice-over. I think this is the best quality course in the "Data Science" program. Thanks so much!!!

This is very great course. From this course I can learn fundamental concept of machine learning with Python like building classifiers using k-nn, decision tree, support vector machine and logistic regression.

Very beautiful course, continuation from IBM Data Science Specialization. Instructors did a great job explaining the basic Machine Learning algorithms. I honestly enjoyed the Capstone week: Best classifier.