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返回到 Statistical Data Visualization with Seaborn

學生對 Coursera Project Network 提供的 Statistical Data Visualization with Seaborn 的評價和反饋

4.6
141 個評分
28 條評論

課程概述

Welcome to this project-based course on Statistical Data Visualization with Seaborn. Producing visualizations is an important first step in exploring and analyzing real-world data sets. As such, visualization is an indispensable method in any data scientist's toolbox. It is also a powerful tool to identify problems in analyses and for illustrating results. In this project, we will employ the statistical data visualization library, Seaborn, to discover and explore the relationships in the Breast Cancer Wisconsin (Diagnostic) data set. We will use the results from our exploratory data analysis (EDA) in the previous project, Breast Cancer Diagnosis – Exploratory Data Analysis to: drop correlated features, implement feature selection and feature extraction methods including feature selection with correlation, univariate feature selection, recursive feature elimination, principal component analysis (PCA) and tree based feature selection methods. Lastly, we will build a boosted decision tree classifier with XGBoost to classify tumors as either malignant or benign. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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JS
2020年10月5日

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

HA
2020年6月29日

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

篩選依據:

1 - Statistical Data Visualization with Seaborn 的 25 個評論(共 27 個)

創建者 NAGABHAIRU V K

2020年5月14日

Not at all useful

創建者 Suhaimi W C

2020年11月19日

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.

創建者 José P P D D S

2020年10月6日

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

創建者 HAY a

2020年6月30日

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

創建者 Aakansha S

2020年4月22日

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

創建者 Punam P

2020年5月13日

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

創建者 SUGUNA M

2020年11月19日

Good project based course

創建者 Hitesh J

2020年7月20日

optimal for beginners

創建者 Doss D

2020年6月14日

Thank you very much

創建者 Suresh B K

2020年6月19日

Good experience

創建者 Hector P

2020年9月13日

Great project!

創建者 Adolf Y M

2020年10月11日

all is good

創建者 amarendra k y

2020年6月2日

Awesome

創建者 prakhar m

2020年9月27日

Good

創建者 tale p

2020年6月26日

good

創建者 p s

2020年6月22日

Good

創建者 Fhareza A

2020年9月14日

wow

創建者 Lilendar R

2020年8月9日

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.

創建者 Sebastian A T H

2020年10月2日

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

創建者 Gayatree D

2020年6月3日

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

創建者 Bala S

2020年6月12日

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

創建者 Zahrotul N I

2020年10月24日

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

創建者 Juste N

2020年7月6日

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

創建者 Pavithra K

2020年8月1日

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

創建者 Dishant T

2020年5月19日

With more explanation, this could have been better by miles.