Topic: credit-card-fraud Goto Github
Some thing interesting about credit-card-fraud
Some thing interesting about credit-card-fraud
credit-card-fraud,An attempt to detect fraud in online transaction in deep neural network using pytorch
User: ajayrao80
credit-card-fraud,Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling
User: alexandrebvd
credit-card-fraud,
User: anirban-s
credit-card-fraud,ML, Data Science and Deep Learning Projects
User: ankitk2109
credit-card-fraud,using HMM to detect credit card fraudulent transaction
User: ashkanmradi
credit-card-fraud,A curated list of data mining papers about fraud detection.
User: benedekrozemberczki
credit-card-fraud,This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.
User: chengchen-steven
credit-card-fraud,Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
User: chentahung
Home Page: https://pypi.org/project/MOBPY/
credit-card-fraud,This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.
User: codecamp20
credit-card-fraud,iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
User: curiousily
Home Page: https://www.curiousily.com/posts/credit-card-fraud-detection-using-autoencoders-in-keras/
credit-card-fraud,Implementation of feature engineering from Feature engineering strategies for credit card fraud
User: dachosen1
credit-card-fraud,Learn to use Support Vector Machines in Python(sklearn) and R
User: devssh
credit-card-fraud,Classification of fraudulent credit card transactions.
User: dimtics
credit-card-fraud,Anomaly detection using isolation forest
User: divya-bhargavi
credit-card-fraud,Analysis of credit card fraud data
User: ellisvalentiner
credit-card-fraud,Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Organization: fraud-detection-handbook
Home Page: https://fraud-detection-handbook.github.io/fraud-detection-handbook/Foreword.html
credit-card-fraud,Deteccion de fraudes de tarjetas de credito usando Machile Learning implementando distintos algoritmos y haciendo comparaciones de rendimiento con respecto a la clasificacion de transacciones.
User: garnica1999
credit-card-fraud,The official PHP Library for Greip API.
Organization: greipio
Home Page: https://greip.io
credit-card-fraud,Criação de um modelo de Machine Learning para prever fraudes nas transações de cartão de crédito utilizando Python
User: gui-lherme-oliv
credit-card-fraud,Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset
User: ireneliu521
credit-card-fraud,Detecting fraudulent credit card transactions with supervised learning
User: jgcorliss
Home Page: https://www.kaggle.com/mlg-ulb/creditcardfraud
credit-card-fraud,Our underwriting python module for underwriting credit card accounts. For enterprise partners wanting to do their own underwriting in-house.
Organization: kapedinc
credit-card-fraud,Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
User: kennethleungty
Home Page: https://neptune.ai/blog/data-science-pipelines-with-kedro
credit-card-fraud,
User: khemanthraju
Home Page: https://www.ijrti.org/papers/IJRTI2212069.pdf
credit-card-fraud,This repo contains my fraud detection project to detect fraudulent cases using a dataset of credit card transactions.
User: limchiahooi
credit-card-fraud,Developed a machine learning model to identify fraudulent credit applications, with a Fraud Detection Rate of 56.12% at 3% of the population. The resulting model can be utilized in a credit card fraud detection system.
User: liyue34673
credit-card-fraud,Ensemble Learning Techniques Tutorial with Credit Card Fraud
User: mangarella
credit-card-fraud,An implementation of a distributed machine learning algorithm using Spark able to identify fraud in credit card transactions
User: marinimau
credit-card-fraud,Python Data Analytics, Machine Learning & Natural Language Processing
User: martandsingh
Home Page: https://www.facebook.com/codemakerz
credit-card-fraud,Python app for detecting credit card frauds using a graph database
Organization: memgraph
Home Page: http://cardfraud.memgraph.com/
credit-card-fraud,Credit Card Fraud Detection using Logistic Regression on credit card dataset
User: nano-bot01
credit-card-fraud,A machine learning model to detect fraud in credit card customers using Random Forest Classification Algorithm
User: prajwal10031999
credit-card-fraud,💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
User: purvasingh96
credit-card-fraud,Build a predictive model to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.
User: rahul-ranjan-ds
credit-card-fraud,In this project, I explore different methods for detecting credit card fraud transactions; including using the Catboost algorithm with undersampling & oversampling methods, and using an almost new approach, by using deep learning and autoencoder.
User: ramtiin
credit-card-fraud,System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.
User: rishawsingh
credit-card-fraud,{PySpark, R, Python}: Several Data Science projects
User: sardhendu
credit-card-fraud,Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.
User: shakiliitju
credit-card-fraud,Credit Card Fraud Detection using machine learning
User: shreyas219
credit-card-fraud,My implementation of the paper "Feature engineering strategies for credit card fraud detection"
User: shrishailsgajbhar
credit-card-fraud,💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
Organization: stockgram
credit-card-fraud,Credit Card Fraud Detection Using Machine Learning With Python And TensorFlow.
User: tamojit-123
Home Page: https://iobriefs.netlify.app/credit-card-fraud-detection
credit-card-fraud,A credit card mass checker tool that could check a card's validity based on luhn algorithm.
User: theblackdna
credit-card-fraud,In this section, we will credit card fraud detection on an imbalanced dataset.
User: tohid-yousefi
credit-card-fraud,Credit Card Fraud Detection Project with Code and Documents
User: vatshayan
Home Page: https://www.finalproject.in/
credit-card-fraud,Full Stack Credit Card Fraud Detection Using Machine Learning with Code and Documents Plus Youtube Explanation Video
User: vatshayan
Home Page: https://www.finalproject.in/
credit-card-fraud,Credit Card Fraud Detection
User: vishal1999-33
credit-card-fraud,Zip
User: web-apply
Home Page: https://creditcardgenerator.money/
credit-card-fraud,Using simple logistic regression to predict credit card fraud transactions
User: willtchiu
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.