From the course: Machine Learning with Logistic Regression in Excel, R, and Power BI
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Challenge: Calculating logistic regression
From the course: Machine Learning with Logistic Regression in Excel, R, and Power BI
Challenge: Calculating logistic regression
(playful music) - [Instructor] Here's your chance to apply what you just learned about binomial logistic regression on your own. You're going to use the dataset we're already using for this project to select another independent variable, to run with the same variable as the dependent variable for the outcome of the game. You'll want to think about what variables could potentially work in the model and switch them with the point scored variable to see how they compare. Remember to use numeric inputs in the model to make sure it runs. Also think about whether you want to run the model in either Excel or R or even both, depending on how much you want to deep dive into the model to understand more of the technicalities behind how it runs.
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Contents
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Calculating linear regression3m 38s
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(Locked)
Working with the logit model4m 42s
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(Locked)
Calculating log likelihood5m 8s
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(Locked)
Constructing MLE10m 30s
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(Locked)
Solving MLE7m 53s
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(Locked)
Predicting outcomes3m 52s
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(Locked)
Visualizing logistic regression5m 46s
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(Locked)
Challenge: Calculating logistic regression50s
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(Locked)
Solution: Calculating logistic regression3m 16s
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