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Supervised and unsupervised machine learning are important statistical techniques commonly applied in many social and behavioral science research problems.

This is a course on models for multilevel nested data. These data arise in nested designs, which are quite common to education and applied social, behavioral and policy science.

This is a course in advanced statistical techniques that covers generalized linear models and extensions that are commonly used in health and policy research.

By quantifying underlying differences on COVID-19 reporting and examining the predictive power of these patterns to identify the news source, this study can be useful for a number of cases.

World Temperature is Increasing which intends to emphasize the global warming effect by demonstrating an increasing trend of the global temperature anomaly as well as a constant accumulation of carbon …