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.

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.

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.

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.

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.

This course was very useful to get clear about basics of machine learning. Thank you for making such informative and easy to understand videos. I would like to learn more about machine learning.

Thank you!!

It is a good course for both beginners and intermediate.But i will suggest you to before starting this course make sure that you are master in python basics,numpy,pandas,skypy,sckit learn,matplotlib etc.

machine learning with python , the out come of this course is very good , all the quiz programmers and assignments in this course are very usefull for getting knowledge in machine learing with python .

A thorough introduction to Machine Learning for beginners. I loved this course because it explains the Machine Learning concepts very well. This course motivates me to do more study in Machine Learning!

Challenging and fun course that took everything we learned previously and built on it. As someone coming in with RStudio experience, it still stretched out my ability to code in this different language.

Very basic course which includes important machine learning models. This course doesn't go to depth of the topic.But overall I like the labs environment which feels practical because they are in python.

I learning the principle of each algorithm. It's clear and easy to get the principle. It's pretty good to learn ML in such a way, not too much information in one week. Thanks, IBM provides this course.

Excelente curso! Explican aspectos matemáticos y estadísticos complejos con mucha simpleza, lo que lo hace entendible inclusive para la gente que no tiene ancetedentes en la materia. Felicitaciones!

This course is a great way to start learning about ML, as it sets out what you need to do step-by-step, explains very clearly why, and gives you a chance to experiment and practise. Thank you IBM!

Great course, they teach the very basic steps for data analysis world, which is awesome so we can get a solid basics understanding, the tests are in a great level (neither too easy nor too hard).