Machine Learning Intro for Python Developers

Poor quality. The lectures are terribly simple. He claims that we're using ML to identify animals of fish or cat. And species of flowers. However, he glosses over the important part of coming up with the feature data to begin with. For example he talks about identifying between fish and cat, shows images of fish and cats. So we assume that we're going to use ML on images. But that is misleading us. He's not analyzing images at all. Also, maybe this course is old by now, but many of the code examples don't work due to outdated libraries.

Explanation is good but not enough details covered !! Add some more videos and it will became course for begginers standard

The accent is a bit hard to understand and that's where subtitles save you but they're inaccurate. Nonetheless, a good course overall for beginners.

Actually I was so lost how to start machine learning , but after watched this course I am so happy to know how machine learning work and how to continue learning it . I am so glad experiencing this course .

Very simple and strait forward. A quick introductory class to Machine learning course. I like his approach. It gives one a quick start to the field of MI without much confusion like other courses out there.

I have mix feelings about this course. I walk into this knowing nothing about Machine Learning and walk away with not much. The Instructor does go into details about the concepts of supervised machine learning algorithm and introduces the viewer to some cool tools such as Anaconda. But I want to build on my own Machine Learning program on my computer which I still can't do. I will review this course again in a later time. Maybe looking at it with fresher eyes might change my opinion.

Few more examples would be helpful . The subtitles appearing during the training video are not correct, wrongly spelled or different words altogether

I'm starting on ML and this course could be, for its contents, a good step to start. I will come back to update my feedback while I will progressing.

Great Course, but very simple, hope that can add more detail content and case study at the future time!

Overall lectures were good however; these could have been presented in the better way. In place of showing visual of incomplete stuff (or main command), direct reference for .py file can be used as visual to explain. Additional comment at the start, "before you go through with videos, download the .py file of respective lecture, go through with it and then start the lecture to understand it better" will help to everyone (specially for beginners). Thanks & Regards, Amit

Some terms could be explained more detailed, for example, it is said "from scikit import tree" but it is not explained in course what does it mean and why it is needed.