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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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ML to find relationship between a number and 50 other characteristics values

Perform a simple linear regression. … Once you've trained your linear regression take a look at the coefficients of each variable on the trained model. …
Oliver Foster's user avatar
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Performing a linear regression with Perceptron

linear regression model. … The only difference in this case is you would normally fit your perceptron using backpropagation, but for the linear regression model you would likely use OLS. …
Oliver Foster's user avatar
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For very simple linear regression can we quantify the prediction accuracy hit between using ...

[North, East, West, South] - 15 If you train a linear regression model with this encoding you are telling your model that [North] either indicates a higher or lower target than [North, East, West, South …
Oliver Foster's user avatar
2 votes
1 answer
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DecisionTreeRegressor under the hood of GradientBoostingClassifier

I'm inspecting the weak estimators of my GradientBoostingClassifier model. This model was fit on a binary class dataset. I noticed that all the weak estimators under this ensemble classifier are decis …
Oliver Foster's user avatar
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DecisionTreeRegressor under the hood of GradientBoostingClassifier

Classification Gradient boosting for classification is very similar to the regression case. …
Oliver Foster's user avatar
1 vote

how Lasso regression helps to shrinks the coefficient to zero and why ridge regression dose ...

This StatQuest video does a fantastic job of explaining in simple terms why this is the case.
Oliver Foster's user avatar