Teaching was good but since the title refers ML with python expected more deep dive with some ML associated libraries in python and implementation. The course was more over Theoratical but good for the beginners.

Thanks alot

I enjoy this course - the content, the pace and the Notebook exercizes. It didn't bog me down and gave me a great insight into what Supervised and Unsupervised ML entails. I have lots to learn and practice ahead. Thank you.

this is an intermediate level but it blends in well with beginner's basics, allowing even people with less experience or perhaps only theory to jump in right away. Also makes foundation for advanced level. i recommend it.

Amazing course. I learnt a variety of machine learning model here. Complete the course, I feel confident in understanding and applying them. It is also the foundation for me in further learning of machine learning. Thanks!

Detailed explanation of topics. Good balance between theory and practice. Real-life use cases with real-world data. Some minor issues related to library versions should be taking into account or addressed by instructors.

The course content provides a great insight into how we can create different types of models using Machine Learning algorithms. This is the best place to start if you want to really pursue a career towards Data Science.

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.