- Mar 01, 2019 · Neural Networks and Deep Learning is THE free online book. Period. Book abstract: Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform.
- Diabetes regression with scikit-learn¶ This uses the model-agnostic KernelExplainer and the TreeExplainer to explain several different regression models trained on a small diabetes dataset. This notebook is meant to give examples of how to use KernelExplainer for various models.
- # import the class from sklearn.linear_model import LogisticRegression # instantiate the model (using the default parameters) logreg = LogisticRegression() # fit the model with data logreg.fit(X_train,y_train) # y_pred=logreg.predict(X_test)

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