Machine Learning with Logistic Regression in Excel R and Power BI

Machine Learning with Logistic Regression in Excel R and Power BI

with Helen Wall
Electronic Video - 2021

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

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Bibliographic Details
Corporate Author: linkedin.com (Firm)
Other Authors: Wall, Helen (Speaker)
Format: Electronic Video
Language:English
Published: Carpenteria, CA linkedin.com, 2021.
Subjects:
Online Access:View course details on linkedin.com/learning

MARC

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500 |a 11/05/202112:00:00AM 
520 |a Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model. 
511 1 |a Presenter: Helen Wall 
520 |a 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. 
538 |a 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. 
655 4 |a Instructional films.  |2 lcgft 
655 4 |a Educational films.  |2 lcgft 
710 2 |a linkedin.com (Firm) 
856 4 0 |u https://www.linkedin.com/learning/machine-learning-with-logistic-regression-in-excel-r-and-power-bi?u=95224889&auth=true  |z View course details on linkedin.com/learning 
092 |a ONLINE CLASS