Topic: creditcard-fraud Goto Github
Some thing interesting about creditcard-fraud
Some thing interesting about creditcard-fraud
creditcard-fraud,Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.
User: alekla0126
Home Page: https://alekla0126.github.io/Card_Fraud_Detection/
creditcard-fraud,belajar machine learning
User: aronei44
creditcard-fraud,To build a classification methodology to predict whether a costumer is going to default for a payment or not.
User: ashishkumar-hub
creditcard-fraud,The problem statement is to predict fraudulent credit card transactions with the help of machine learning models. In this project, we need to analyse customer-level data that has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group.
User: bagishmehrotra
creditcard-fraud,This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.
User: cdalsania
creditcard-fraud,Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉
User: georgezoto
Home Page: https://www.meetup.com/Deep-Learning-Adventures
creditcard-fraud,Codes related to data warehousing and mining
User: girishsaraf
creditcard-fraud,This mini project was part of the module "Introduction To Data Science And Artificial Intelligence" (SC1015)
User: jabezng2
creditcard-fraud,An analysis for finding out best method for credit card fraud detection. It's an comparison between three different classifiers: ANN, KNN and Decision Trees.
User: kartiksingh98
creditcard-fraud,This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
User: kyosek
Home Page: https://towardsdatascience.com/probability-calibration-for-imbalanced-dataset-64af3730eaab
creditcard-fraud,The Charge Documentation
Organization: nax-tech
Home Page: https://www.charge.io
creditcard-fraud,To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.
User: pranav-sunil-kumar
creditcard-fraud,
User: priyankalahoti
creditcard-fraud,Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
User: rahul2992
creditcard-fraud,Creditcard fraud detection: Handling imbalanced data using Machine Learning
User: rikvegter
creditcard-fraud,This is the source code for the Credit Card Fraud Detection Project in Machine Learning.
User: siddharthjain1611
creditcard-fraud,A credit card mass checker tool that could check a card's validity based on luhn algorithm.
User: theblackdna
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