The aim of this project is to predict the probability of credit default of. I fit a logistic and Multivariate adaptive regression splines (MARS) model using real accounts data from a credit card company in Sioux Falls, South Dakota. Read more

Selecting the best seed species is one of the main concerns for both bean producers and the market. The aim of this project is to develop a supervised machine learning algorithm to perform a multi-classification of dry beans species harvested from population cultivation from a single farm.  Read more