naive-random-oversampler
There are 12 repositories under naive-random-oversampler topic.
Kenner82/Credit_Risk_Analysis
Testing 6 different machine learning models to determine which is best at predicting credit risk.
annette-blackburn/Credit_Risk_Analysis
Supervised Machine Learning Project
BaileeRice/Credit_Risk_Analysis
using machine learning to assess credit risk
cbrito3/Credit_Risk_Analysis
Supervised Machine Learning and Credit Risk
ramya-ramamur/Credit_Risk_Analysis
Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn
sarahm44/credit-risk-predictor
Uses several machine learning models to predict credit risk.
shumph10/Credit_Risk_Analysis
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
Wall-E28/credit_risk_analysis
The purpose of this analysis was to create a supervised machine learning model that could accurately predict credit risk using python's sklearn library.
jharvey09/Risky_Business_Peer_To_Peer_Lending
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.
katewang1/Credit_Risk_Analysis
Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models
vmieres/Machine-Learning
This repo is about Machine Learning and Classification