The dataset contains information regarding residential properties which were collected by the US Census Service, the period 2006 to 2010.

**R + Python Binary Logistic Regression** | Case Studies

The objective of this project is to utilize different methodologies to develop and assess a loan risk model. The dataset used in this project is based on past lending transactions from a peer-to-peer lending services provider. The goal is to create a model that can accurately determine the creditworthiness of borrowers.

Credit Risk Classification