Exercise

Logistic regression

Let's move on to logistic regression. You'll be working with the same weather dataset again, but the goal here is to predict if it's going to rain tomorrow. We've gone ahead and created your train and test sets for you. Your dependent variables are the Humidity9am and Humidity3pm features.

It's also worth noting that the dataset has already been normalized in order to ensure that we can interpret the coefficients later on. This is always good to bring up during your interview when talking about regression for inference.

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Create and fit your logistic regression model using the X_train and y_train variables.