Best Course

buen Curso

Thank you!

very good

Thanks!

useful

great

great

Good

Best

Everything is satisfactory except for the peer review section. The initial submission faced challenges, primarily attributed to an unfair assessment by one of the peer reviewers. Despite meeting certain requirements unequivocally, such as employing three distinct types of models, this reviewer did not allocate any points or provided an inadequate assessment without clear justification. It seems that many peers have similar experience...

This course provided a very useful overview of a wide range of classification techniques using scikit-learn, including the best practice in using the techniques and theoretical underpinning of them. My one criticism would be the repetitive nature of the worked examples. Given the scikit-learn has a consistent format across all the different types of model, the actual coding of each example often followed the same format.

Very good course, full of information. The downside is that passing tests largely require very good knowledge of English. Sometimes it is more difficult to understand the question and the proposed answers than the substantive value of the question. This applies to all courses in this package.

there is a lot of information with machine learning strategies and explain how to think in front of results. Super Course ! JSON files made me confusion, it mentions notebook jupiter files but not.

Interesting Course, sometimes it skips some arguments that should be, imho, studied a bit deeper (i.e. UP/DOWN sampling), for the rest it's a great course with a great teacher!

It is a good course, could be a bit more detailed. Python and package versions are completely outdated. An update would really help!

Wonderful course but too many syntax and classification types - keeping focused and attentive helps achieve or succeed.

This course is has a detailed explanation on each and every aspect of classification.

Maybe tasks within the weeks lesson could be helpful to build a powerful knowledge.

Excellent content. Great, but intense instruction/videos.

the material in the last week felt rushed

Really worthable

Great con

The instructor was very good in drilling deep in the code snippets, explaining what every line does clearly, but on theoretic side of every algorithm, I see the handling was poor, lacks the depth and clarity, many times I looked at an external sources to understand how a model works.

Need to cover some basic information and examples too cause directly start from complex examples in the code section