Fraud Detection model based on anonymized credit card transactions based on Isolation Forest Algorithm and Local Outlier Factor
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Updated
Jan 3, 2023 - Jupyter Notebook
Fraud Detection model based on anonymized credit card transactions based on Isolation Forest Algorithm and Local Outlier Factor
This project aims to detect credit card fraud using Anamoly detection techniques such as Isolation Forest and Local Outlier Factor algorithms.
🛡️ 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! 🔐💯
Applied undersampling and oversampling using SMOTE.
💳 Detectando transações fraudulentas em cartões de crédito com scikit-learn, utilizando modelos de classificação.
The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances.
Credit card transactions fraud detection using classic algorithms
Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project
Enhanced Credit Card Fraud Detection using Graph Neural Networks
Tasks and Projects completed during the Data Science internship at CODSOFT
Final Project for CS-577 Principles and Techniques of Data Science at San Diego State University
Credit Card Fraud Detection using Machine Learning Algorithms
Validates popular debit and credit cards numbers against regular expressions and Luhn algorithm. Also validates the CVC and the expiration date.
Credit Card Fraud Detection using Extreme Gradient Boosting
This code snippet performs fraud detection using machine learning models such as RandomForestClassifier and DecisionTreeClassifier.
This repository consists of assignments and Models trained on various ML, NLP, & Deep Learning Algorithms.
Utilizando algoritmos de classificação para criar um modelo preditivo que seja capaz de detectar fraudes de cartão de crédito.
Credit Card Fraud Detection using Logistic Regression
Fraud Detection model based on anonymized credit card transactions
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