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GitHub topics: undersampling-algorithms

VictoorV/Detection_malwares

L'objectif de ce projet est de développer un classifieur capable de différencier les logiciels malwares des goodwares.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

MiracleOny/Credit-Risk-Analysis

Over- and under-sampled data using four algorithms and compared two machine learning models that reduce bias to identify the most reliable credit risk prediction model.

Language: Jupyter Notebook - Size: 19.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Kenner82/Credit_Risk_Analysis

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

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ShreejanKumar/Prevention-of-Credit-Card-Fraud-using-ML

Credit Card Fraud Detection

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0