Machine Learning with Logistic Regression in Excel, R, and Power BI/ with Helen Wall.

Format:

Video

Author/Creator:

Wall, Helen, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Video recordings.

Physical Description:

1 online resource

polychrome

Place of Publication:

Carpenteria, CA: linkedin.com, 2021.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model.

Excel, R, and Power BI are applications universally used in data science and across businesses and organizations around the world. If you've spent any time trying to figure out how to better model your data to get useful insights from it that you can act upon, you've most likely encountered these applications. In this course, Helen Wall shows how to use Excel, R, and Power BI for logistic regression in order to model data to predict the classification labels like detecting fraud or medical trial successes. Helen walks through several examples of logistic regression. She shows how to use Excel to tangibly calculate the regression model, then use R for more intensive calculations and visualizations. She then illustrates how to use Power BI to integrate the capabilities of Excel calculations and R in a scalable, sharable model.

Participant:

Presenter: Helen Wall

Notes:

11/05/2021

Access Restriction:

Restricted for use by site license.