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This is for a research project given by Professor Mohammad Islam at UVU for describing the distribution of property loss claims made against an insurance company. The goal of the project is to fit a distribution to the data so that a confidence interval for the 80th percentile of all claims can be found.
Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality in R.
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The developed R code implements an Extended Conditional Density Estimation Network Creation and Evaluation model designed for forecasting distribution parameters, with a generalized network architecture capable of accommodating any number of hidden layers, hidden neurons, and activation functions.