Understand a new dataset. Process it by applying exploratory data analysis (EDA). Model the data using Naive Bayes. Analyze the results and optimize the model. Once you have finished solving the ...

Abstract: Prediction of work Travel mode choice is one of the most important parts of travel demand forecasting. Planners can achieve sustainability goals by accurately forecasting how people will get ...

Abstract: This study presents an in-depth evaluation of sentiment analysis models applied to a US Twitter dataset. The performance of machine learning models considered in this study are Random Forest ...

Estimation of mixture densities for the classical Gaussian compound decision problem and their associated (empirical) Bayes rules is considered from two new perspectives. The first, motivated by Brown ...