Testing 6 different machine learning models to determine which is best at predicting credit risk.

Established a supervised machine learning model trained and tested on credit risk data through a variety of methods to establish credit risk based on a number of factor

The purpose of this analysis was to create a supervised machine learning model that could accurately predict credit risk using python's sklearn library.

Supervised Machine Learning Project

Uses several machine learning models to predict credit risk.

Supervised Machine Learning and Credit Risk

using machine learning to assess credit risk

This repo is about Machine Learning and Classification

In this project, I will use credit risk models to assess the credit risk using peer-to-peer lending. Algorithms such as SMOTE, Naive Random Sampling, etc.

Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn

Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models