how to print logistic regression coefficients in python
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sure, here's a step-by-step tutorial on how to print logistic regression coefficients in python using the scikit-learn library:
first, you need to import the required libraries. in this case, we'll need numpy, pandas, and scikit-learn.
next, you'll need to prepare your data. make sure you have your independent variables (x) and dependent variable (y) ready. for this tutorial, let's assume you have a dataset loaded into a dataframe called df with features in columns x1, x2, etc., and the target variable in column target.
now, you'll create an instance of the logistic regression model and fit it to your data.
finally, you can print the coefficients of the logistic regression model. these coefficients represent the weights assigned to each feature.
this will display a dataframe containing the coefficients for each feature.
putting it all together:
this will give you a clear view of the coefficients associated with each feature in your logistic regression model.
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