Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
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Updated
Mar 20, 2017 - Python
Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
A credit card mass checker tool that could check a card's validity based on luhn algorithm.
Codes related to data warehousing and mining
To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.
This is the source code for the Credit Card Fraud Detection Project in Machine Learning.
The Charge Documentation
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.
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 🎉
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.
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.
To build a classification methodology to predict whether a costumer is going to default for a payment or not.
Creditcard fraud detection: Handling imbalanced data using Machine Learning
Use of different classification models to detect credit card frauds
This mini project was part of the module "Introduction To Data Science And Artificial Intelligence" (SC1015)
belajar machine learning
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.
🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯
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