Topic: "smoteenn-combination"
Kenner82/Credit_Risk_Analysis
Testing 6 different machine learning models to determine which is best at predicting credit risk.
Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

GayatriSharma23/Autism-Prediction
It's a classification model that predict whether an individual will suffer from autism in future or not
Language: Jupyter Notebook - Size: 269 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

mmsaki/credit-risks-ml
Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.
Language: Jupyter Notebook - Size: 9.02 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Rutgers-Data-Science-Bootcamp/Credit_Risk_Analysis
Data preparation, Statistical reasoning, Machine Learning
Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Billie-LS/give_me_cred
peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy
Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sarahm44/credit-risk-predictor
Uses several machine learning models to predict credit risk.
Language: Jupyter Notebook - Size: 9.54 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

tyedem/Risky_Business
Credit Risk Analysis utilizing imbalanced classification machine learning models
Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 982 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
