This is a short presentation (12 slides) of regression lines on ordinary subject matter. Code is included which was made to create the presentation and its contents.

In this workshop you will build credit risk models to estimate the Probability of Default (PD) using Logistic Regression, Linear Discriminant Analysis (LDA), Decision Tree Classifier, and Ridge Classifier. We work with a LendingClub sample and follow a simple Internal Ratings-Based (IRB)-style

Analisi statistica inferenziale e modellizzazione predittiva del peso neonatale su un dataset di 2500 osservazioni cliniche, con variabili materne, antropometriche e contestuali raccolte da tre ospedali.