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Perform Feature Analysis with Yellowbrick(으)로 돌아가기

Coursera Project Network의 Perform Feature Analysis with Yellowbrick 학습자 리뷰 및 피드백

4.8
별점
52개의 평가
4개의 리뷰

강좌 소개

Welcome to this project-based course on Performing Feature Analysis with Yellowbrick. In this course, we are going to use visualizations to steer machine learning workflows. The problem we will tackle is to predict whether rooms in apartments are occupied or unoccupied based on passive sensor data such as temperature, humidity, light and CO2 levels. With an emphasis on visual steering of our analysis, we will cover the following topics in our machine learning workflow: feature analysis using methods such as scatter plots, RadViz, parallel coordinates plots, feature ranking, and manifold visualization. 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, Yellowbrick, 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....
필터링 기준:

Perform Feature Analysis with Yellowbrick의 4개 리뷰 중 1~4

교육 기관: ayman a

2021년 3월 22일

voice are not clear .

교육 기관: XAVIER S M

2020년 6월 2일

Very Helpful !

교육 기관: p s

2020년 6월 24일

Nice

교육 기관: tale p

2020년 6월 23일

good