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 ...

python Copy Edit scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test) Standardizes features to have mean 0 and std dev 1 for optimal model performance.

In this project, we use machine learning models like Random Forest and Logistic Regression to predict whether a customer is likely to churn based on their demographic and financial information.

Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States ...