JS
Oct 5, 2020
A machine learning perspective on seaborn capacity, dealing with plots of common results when removing features or selecting important features from dataset
HA
Jun 29, 2020
Great course for a beginner to be equipped with data science tools and feature selection methods for machine learning!
创建者 NAGABHAIRU V K
•May 14, 2020
Not at all useful
创建者 Yaron K
•Sep 7, 2021
Shows an example of feature selection using sklearn SelectKBest and RFECV, xgboost plot_importance, and dimensionality reduction using PCA. With seaborn visualizations of EDA and results of running xgboost ML.
The completed notebook is included in the resources, so you can concentrate on learning (rather than on improving your typing skills).
创建者 Suhaimi C
•Nov 19, 2020
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.
创建者 José P P D D S
•Oct 6, 2020
A machine learning perspective on seaborn capacity, dealing with plots of common results when removing features or selecting important features from dataset
创建者 HAY a
•Jun 30, 2020
Great course for a beginner to be equipped with data science tools and feature selection methods for machine learning!
创建者 Aakansha S
•Apr 22, 2020
Thankyou Sir , for explaining in a very simple way it helps me alot!
创建者 Punam P
•May 13, 2020
Thanks for the course..Nice work and helpful project..
创建者 Jayden P
•Jun 24, 2021
Clean and simple. No issues with this course .
创建者 Yash P
•Dec 9, 2021
awesome thanks to coursera
创建者 SUGUNA M
•Nov 19, 2020
Good project based course
创建者 Hitesh J
•Jul 20, 2020
optimal for beginners
创建者 Doss D
•Jun 14, 2020
Thank you very much
创建者 Suresh B K
•Jun 19, 2020
Good experience
创建者 Hector P
•Sep 13, 2020
Great project!
创建者 Adolf Y M
•Oct 11, 2020
all is good
创建者 Md N H
•Apr 1, 2022
So good.
创建者 Pris A
•Apr 7, 2021
Perfect!
创建者 amarendra k y
•Jun 2, 2020
Awesome
创建者 Prakhar M
•Sep 27, 2020
Good
创建者 tale p
•Jun 26, 2020
good
创建者 p s
•Jun 22, 2020
Good
创建者 Fhareza A
•Sep 14, 2020
wow
创建者 Jorge G
•Feb 26, 2021
I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.
创建者 Alex K
•Dec 7, 2020
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?
创建者 Lilendar R
•Aug 9, 2020
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.