204.3.1 Decision Trees in Python : Segmentation
In this series of posts we will cover one of the widely used algorithms in machine learning. We will start …
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204.2.6 Model Selection : Logistic Regression
Link to the previous post : https://statinfer.com/204-2-5-multicollinearity-and-individual-impact-of-variables-in-logistic-regression/ We left some part of the post regarding goodness of fitness behind. We will …
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204.2.5 Multicollinearity and Individual Impact Of Variables in Logistic Regression
Link to the previous post : https://statinfer.com/204-2-4-goodness-of-fit-for-logistic-regression/ Previous post was about goodness of fit, we covered Confusion matrix and will cover …
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204.2.4 Goodness of fit for Logistic Regression
Link to the previous post :https://statinfer.com/204-2-3-multiple-logistic-regression/ Goodness of Fit for a Logistic Regression There are quite a lot of methods …
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204.2.3 Multiple Logistic Regression
Link to the previous post : https://statinfer.com/204-2-2-logistic-function-to-regression/ In the last post 204.2.2 we created a Logistic Regression model with single input …
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204.2.2 Logistic Function to Regression
Link to the previous post : https://statinfer.com/204-2-1-logistic-regression-why-do-we-need-it/ In the last post we saw linear regression cannot be used if …
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