Machine Learning with Logistic Regression in Excel, R, and Power BI
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2:49:58
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01.01-apply logistic regressions to solve problems.mp4
01:11
01.02-what you should know.mp4
00:43
01.03-introduction to the course project.mp4
01:44
01.04-configuring the excel solver add-in.mp4
01:51
01.05-working with r.mp4
05:51
01.06-configuring r in power bi.mp4
03:40
02.01-introducing ai and logistic regression.mp4
02:28
02.02-differentiating between odds and probabilities.mp4
02:31
02.03-differentiating between distributions.mp4
02:03
02.04-calculating logs and exponents.mp4
05:02
02.05-sigmoid curve.mp4
05:59
02.06-utilizing training and testing data sets.mp4
02:40
03.01-calculating linear regression.mp4
03:38
03.02-working with the logit model.mp4
04:42
03.03-calculating log likelihood.mp4
05:08
03.04-constructing mle.mp4
10:30
03.05-solving mle.mp4
07:53
03.06-predicting outcomes.mp4
03:52
03.07-visualizing logistic regression.mp4
05:47
03.08-challenge calculating logistic regression.mp4
00:51
03.09-solution calculating logistic regression.mp4
03:16
04.01-adding more independent variables.mp4
06:41
04.02-transforming variables.mp4
03:55
04.03-calculating correlations.mp4
06:39
04.04-using statistics.mp4
04:23
04.05-configuring confusion tables.mp4
12:45
04.06-challenge fine-tuning the model.mp4
00:42
04.07-solution fine-tuning the model.mp4
02:53
05.01-calculating odds for multinomial models.mp4
06:33
05.02-calculating probabilities for multinomial models.mp4
02:18
05.03-calculating multinomial log likelihoods.mp4
02:54
05.04-running mle.mp4
04:34
05.05-making the predictions.mp4
07:31
06.01-running r scripts in the power query editor.mp4
07:14
06.02-running r standard visuals.mp4
07:42
06.03-interacting between visual components.mp4
03:50
06.04-challenge moving into power bi.mp4
00:30
06.05-solution moving into power bi.mp4
06:30
07.01-next steps with logistic regressions.mp4
01:04
Description
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.
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- language english
- Training sessions 39
- duration 2:49:58
- Release Date 2023/01/31
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