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.

For problem set 3 of Psych 251

Let's gather information about the world's game using a simple API! This guide will walk you through the process!

Aulas de programação Professor Adriano Lauro