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Modeling Data in the Tidyverse(으)로 돌아가기

존스홉킨스대학교의 Modeling Data in the Tidyverse 학습자 리뷰 및 피드백

강좌 소개

Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships. This course covers the types of questions you can ask of data and the various modeling approaches that you can apply. Topics covered include hypothesis testing, linear regression, nonlinear modeling, and machine learning. With this collection of tools at your disposal, as well as the techniques learned in the other courses in this specialization, you will be able to make key discoveries from your data for improving decision-making throughout your organization. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....
필터링 기준:

Modeling Data in the Tidyverse의 2개 리뷰 중 1~2

교육 기관: Glenn

2021년 2월 18일

Pretty decent course that goes through the crucial aspects of the tidymodels workflow. Good for anyone who wants to transition from caret to tidymodels for machine learning. This seems like a relatively new course though, so you might have to wait awhile for enough peers to review.

교육 기관: Stefan M

2021년 10월 2일

Well presented and clearly understandable course.