The scripts directory contains multiple python scripts that can be used to run the experiments ... There are optimizers for logistic likelihood, variance-regularized logistic likelihood, ...

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) ...

Libraries like scikit-learn and statsmodels allow you to build detailed regression models with just a few lines of code. Python is ideal for data scientists, analysts, and developers working with ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

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It is recommended that you take the first 2 courses of the TensorFlow Specialization and have a solid understanding of coding in Python before taking this course. This course provides you with the ...