学生对 IBM 提供的 使用 Python 进行机器学习 的评价和反馈

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.

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).

This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.

Excellent course! Easy to understand through the whole range of machine learning. However, some subjects are dealt in shallow, other subjects in depth! Anyway it must be great course! Thank you!

Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.

It was an exited course though some difficulties to acquire the knowledge behind ML algorithms. But this course is worth learning. Definitely, thanks to Mr. SAEED AGHABOZORGI and all the team.

Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.

This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.

The course was excellent. Instructors explained each and every topic well both theoretically and practically. Recommended for beginners who want to dive into machine learning using Python.

One of the best course I have come across. Every module was brilliant and taught so well. Thanks to coursera and IBM for such a lovely course. Special thanks to all the tutors and mentors.

This course provided a solid platform for machine learning and I have thoroughly enjoyed every second of it. No regrets and I look forward to continuing with similar courses in the future.

I Learned basic algorithms, error evaluation, analysis on various datasets. At the end of the course, I am confident to apply my knowledge to solve problems with the required algorithms.

well designed course... smooth. it is for beginners, gives a good basic grasp.. the exercises are the best, pretty painless to get up and running, easy to experiment (highly encourage)..

I have learned the basic concepts of different machine learning algorithms. Understood how to build a model using different dataset and how to predict and found out the insights of data.

Very interesting course, the final assignment is very good - it's a challenge, but it's covered in the course so one doesn't need to take another coursera course to pass it successfully.

It is a well - designed course for understanding the ML fundamentals. It teaches you the main concepts and the lab notebooks are really supportive to try on the algorithms with pythons.

Good for data scientist who wanted to explore more in different classification algorithms along with evaluation matrix while developing the machine Learning Models or Predictive Models.

Could you classify the users based on their demographics and educational standards and predict the rating they would provide :). I will love to see the results or help write the code ..

The lecture videos are minimal and also defines the machine algorithms without ambiguity.

The hands-on project was interesting to apply Classification algorithms on Jupyter Notebook.