Not at all useful

Awesome guided project. Good overview and interesting subject. I learned a lot using python and seaborn for statistical data visualization. Thanks much for offering this guided project. Highly recommend it to take part 1 first, then this part 2.

A machine learning perspective on seaborn capacity, dealing with plots of common results when removing features or selecting important features from dataset

Great course for a beginner to be equipped with data science tools and feature selection methods for machine learning!

Thankyou Sir , for explaining in a very simple way it helps me alot!

Thanks for the course..Nice work and helpful project..

Good project based course

optimal for beginners

Thank you very much

Good experience

Great project!

all is good

Awesome

Good

good

Good

wow

Good instructor, nice bite sized course design and hands on approach. Only thing is the complexity: I probably lack a bit of the theoretical understanding which makes it a little mystifying what is going on, particularly in the second part of the course. At the same time, if I did have the required background I imagine it might be a little basic?

I think the quizs are very easy, it has to have atleast 10 questions. Beause as we are provided with the jupyter notebook we are understanding everything in detail and expecting some good no of questions in the quiz.

Un excelente curso para profundizar en habilidades prácticas tanto en temas de seaborn como en sklearn

The course was really nice however, I faced little issues while connecting to the rhyme desktop.

The course is really good but i feel it would be even more good if there was more explanation.

Thank you for the lesson but I hope it can be much longer for the explanation.

Great project, would have been better with a larger dataset in my opinion.

project was good but i suggest u to have basic sklearn, ml practice .