A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University.

# adj_old,adj_new,edges_old,edges_new,graph_old,graph_new,edgelist,_,_=dynamic_data.gen_adj() ...

This chapter presents techniques and ideas behind the following concepts, generating synthetic and augmented data, Green ML, symbolic regression, mapping functions, ensembles and AutoML. Symbolic ...

These authors combined human genetic analysis with zebrafish experiments to produce valuable evidence that alleles that impair function of EPHA4 cause IS, thereby extending our understanding of the ...

Additionally, we extend our analysis to more general classifiers and datasets, considering a broad range of loss-based sampling strategies and smooth convex ... regression models based upon ...

Random variables are often used in econometric or regression analysis to determine statistical relationships among each other. A random variable is a variable whose value is unknown or a function ...