fraudulent-transactions

There are 3 repositories under fraudulent-transactions topic.

• juniorcl / transaction-fraud-detection

  A data science project to predict whether a transaction is a fraud or not.

  fraud-detectiondata-sciencefraudulent-transactionsmachine-learningpythondata-science-portfoliodata-science-projects
  Language:Jupyter Notebook 123

• purvasingh96 / gym-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.

  openai-gymopenai-gym-environmentscredit-card-fraudartificial-intelligencereinforcement-learningdeep-q-learningcredit-cardfraudulent-transactionsgym-environmentgym-fraudaccuracyopenaideep-reinforcement-learning
  Language:Jupyter Notebook 11

• rishawsingh / Credit-Card-Fraud-Detection

  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.

  deep-learningcredit-cardcreditcardcredit-card-fraudfraud-detectionfraudulent-transactionsdeep-neural-networksdeep-learning-algorithmsdeep-learning-tutorialmachine-learningsmote-samplingscikitlearn-machine-learningmachinelearningsampling-methodsdeeplearning-ai
  Language:Jupyter Notebook 10

• lmriccardo / fraudolent-transaction-classification

  Project for the Big Data Computing course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

  analyticsbig-datafraud-detectionfraud-preventionfraudulent-transactionsmachine-learningnotebookpyspark-notebookpythonspark
  Language:Jupyter Notebook 7

• alinasahoo / Credit-Card-Fraud-Detection

  This is my final project for my internship at EISystems Technologies. I have used two ML algorithms and tried my hands-on. Also, the final report is included.

  credit-card-transactionsfraudmachine-learningclassificationfraudulent-transactionsalgorithms
  Language:Jupyter Notebook 3

• jincy-p-janardhanan / imbalanced-fraud-detection

  This notebook tries to make fraud/not fraud predictions on a transactions dataset with highly imbalanced data.

  classificationfraud-detectionfraudulent-transactionsimbalanced-datamachine-learningoversampling-techniquesmotexgboost
  Language:Jupyter Notebook 3

• Keshav25-2002 / Etherium-Fraud-Detection

  This project aims to detect fraudulent transactions in the Ethereum blockchain using machine learning algorithms. Fraud detection is crucial for maintaining the integrity and security of the blockchain, and can help prevent financial losses due to fraudulent activity.

  fraud-detectionfraud-preventionmlfraudulent-transactions
  Language:Jupyter Notebook 3

• pedrofratucci / Blocker_Fraud_Company

  [Project Repository] Predicting fraudulent transactions.

  classification-algorithmfraudulent-transactionspredictive-analytics
  Language:Jupyter Notebook 3

• RimTouny / Credit-Card-Fraud-Detection

  Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

  classification-algorithmscorrelation-analysisdata-sciencedetection-modeldimensionality-reductionencodingfeature-engineeringfeature-scalingfraud-detectionfraudulent-transactionslabel-encodingoutlierspcasmotestandardscalertsne-visualizationnon-fraudulent-transactionskearsmax-poolingnerual-network
  Language:Jupyter Notebook 3

• yashprakash13 / Fraud-Detection-IEEE-Kaggle

  Detection of fraudulent transactions from IEEE Kaggle Dataset

  machine-learningmachine-learning-algorithmsfraud-detectionfraudulent-transactionsfraud-preventionkagglekaggle-datasetpythonscikit-learnlogistic-regressionxgboostieee-kaggle-dataset
  Language:Jupyter Notebook 3

• Anshupriya2694 / Credit-Card-Fraud-Detection

  This project uses predictive modeling techniques to identify fraudulent Credit Card transactions on data obtained from European credit card holders made in September 2013.

  fraudulent-transactionsunbalanced-datasetspca
  Language:R 2

• JessicaDeCunha / SQL_Visual_Data_Analysis_of_Fraudulent_Transactions-

  In this repo I have used SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.

  fraudulent-transactionsdata-engineeringdata-analysisdatabase-model
  Language:Jupyter Notebook 2

• StockGram / Intelligent-Financial-Risk-Manager

  💳 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.

  reinforcement-learningdeep-reinforcement-learningopen-ai-gymcredit-cardcredit-card-fraudopenai-gymdeep-q-networkfraudulent-transactions
  Language:Jupyter Notebook 2

• AzizMosbah / FraudDetection

  Detect fraudulent transactions and accounts in a vast dataset

  analyticsnetwork-analysisfraudulent-transactionsfraud-detection-system
  Language:Python 1

• hardikjp7 / Fraudulent-Transactions-Prediction

  🔍 Predict fraudulent transactions with a pre-trained Random Forest Classifier model via Streamlit app.

  fraud-detectionfraudulent-transactions
  Language:Jupyter Notebook 1

• sharmasapna / credit-card-fraud-detection

  Code to detect credit card fraud detecton

  fraud-transactionsfraudulent-transactionscredit-cardssmote-samplingrandom-over-samplingrandom-under-samplingdecision-treeslogistic-regressionxgboostrandom-forestisolation-forestk-means-clusteringtsne-visualizationtsne-plotoutlier-detectionautoencodersrecall-precisionaccuracytransaction-numbersdnn
  Language:Jupyter Notebook 1

• Tai-O / FraudDetection

  Credit Card Transactions Fraud Detection using Deep Learning.

  autoencoderdeep-learningfraud-detectionfraudulent-transactionspython3
  Language:Python 1

• xecyborg / fraud-transaction-detection

  Fraud transaction detection using Machine Learning algorithms on highly imbalanced dataset

  deep-neural-networksfraudulent-transactionsimbalanced-classificationimbalanced-datarandom-forest-classifierxgboost-classifier
  Language:Jupyter Notebook 1

• AliValiyev / Evaluation-the-quality-of-synthetic-data-set-for-fraud-detection

  The objective of my experiment is to analyze the performance of Random Forest, Naive Bayes, Logistic Regression, and K-nearest neighbors machine learning models for evaluation of the utility of synthesized data for fraud detection.

  fraud-detectionfraudulent-transactionsimbalanced-classificationimbalanced-datamachine-learningsynthetic-data
  Language:Jupyter Notebook 0

• behnamy2010 / Credit-Card-Fruad-detection

  Credit card fraud detection

  concept-driftfraud-detectionfraudulent-transactionsimbalanced-data
  Language:Jupyter Notebook 0

• COOLMudi / INSAID-fraudulent-transactions-prediction

  Develop a model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan.

  exploratory-data-analysisfraudulent-transactionsmachine-learningpandaspythonrisk-analysisrisk-assesment
  0

• hilarylim / CC-FraudDetection

  An attempt to detect credit card fraud with imbalanced dataset using various models and identify the costs for using each model - over the span of 2 weeks for my 3rd Project with IOD

  machine-learningfraud-detectionfraudulent-transactionsneural-networkscredit-cardcredit-card-fraudpython3
  Language:Jupyter Notebook 0

• trustswiftly / trustswiftly-php-sdk

  https://trustswiftly.com - Identity Verifications (PHP SDK)

  verificationidentificationfraud-detectionfraud-preventionfraudulent-transactions
  Language:PHP 0

• uibakery-templates / ecommerce-fraud-prevention

  A UI tool to review potentially fraudulent transactions and perform operations on them

  compliancecybersecurityecommercefraud-checkerfraud-detectionfraud-preventionfraud-risk-platformfraudulent-transactionsinterfacemonitoringobservabilityuiuibakery
  Language:JavaScript 0

• vikrantpagare / repo-fraudulent-transaction-detection

  In this project we are going to develop a Supervised ML model for predicting a fraudulent transaction

  decision-treesfraudulent-transactionsmachine-learningprediction-modelpythonsupervised-learning
  Language:Jupyter Notebook 0

• A-jcodes / SQL-Fraudulent-Transactions-in-the-Bank

  Using SQL queries, I crafted complex algorithms to detect suspicious behavior, uncovering hidden connections and irregularities that may indicate fraudulent transactions

  datadataanalysisfraud-detectionfraudulent-transactionssql

• akhilchibber / Fraudulent-Transaction-Detection

  Machine Learning based Fraudulent Transaction Detection

  fraudulent-transactionsmachine-learningfraudulent-transactions-detection
  Language:Jupyter Notebook

• CodeFor2001 / Credit-Card-Fraud-Detection-model

  This repo has a notebook that I worked on for making a fraud detection model. The dataset was Highly imbalanced, so i used random undersampling to balance the data.

  fraud-detectionfraudulent-transactionspython3imbalanced-dataclassification-modelmachine-learning
  Language:Jupyter Notebook

• KelvinLam05 / credit_card_fraud_detection

  Credit card detection fraud using fastai.

  binary-classificationcredit-card-frauddeep-learningfastaifraud-detectionfraudulent-transactionsimbalanced-classification
  Language:Jupyter Notebook
• Fraudulent-Credit-Cards-Transactions

  kesnel / Fraudulent-Credit-Cards-Transactions

  You just got hired as the Business Analyst for the bank, and they provided you with 6 months of available data (step 0 to 179 refer to the dates). They want you to share some insights using the features in the file to determine if you can see a pattern for the fraudulent transactions. They are expecting you to provide some suggestions on how to tackle the problem.

  data-sciencedataprocessingjupyter-notebookfraud-detectionfraudulent-transactions
  Language:Jupyter Notebook

• maltseva88 / SQL

  Applying SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.

  consumption-patternscsv-filesdata-vizualisationerdiagramfraudulent-transactionspandas-dataframepgadmin4plotlypythonsql
  Language:Jupyter Notebook

• MarAl15 / SIGE-FraudDetection

  Data preprocessing and classification for the detection of fraudulent transactions

  classificationfraud-detectionfraudulent-transactionsmachine-learningnaive-bayes-classifierpreprocessingrandom-forest-classifiersvm-classifier
  Language:HTML

• Prafful33Tak / Transaction_Fraud_Detection

  Catering to Blocker Fraud Company's expansion in Brazil, this data science and machine learning project focuses on detecting fraudulent financial transactions. Leveraging advanced analytics, it delivers insights into transaction legitimacy, aiding revenue generation and minimizing losses

  data-analysisdata-sciencefraud-detectionfraudulent-transactionsmachine-learningpython
  Language:Jupyter Notebook

• rushabh5897 / Credit-Card-Fraud-Detection

  Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

  fraudulent-transactionsmachine-learningcredit-card-fraud-detection
  Language:Jupyter Notebook

• Svastikkka / Fraudulent-Transactions

  A model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan. Data for the case is available in CSV format having 6362620 rows and 10 columns.

  data-sciencefraud-detectionfraudulent-transactionsmachine-learningpython
  Language:Jupyter Notebook

• vishal-TH / CreditCard-Fraud-Detection

  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

  aicredit-cardcredit-card-frauddeep-learningdeep-learning-algorithmsdeep-neural-networksdeeplearningdeeplearning-aifraud-detectionfraudulent-transactionsmachine-learningsampling-methodsscikitlearn-machine-learning
  Language:Jupyter Notebook