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Search results for jupyter notebook fraud detection
fraud-detection
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jupyter-notebook
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35 search results found
Fraud Detection Handbook
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352
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Benford_py
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126
Python implementation of Benford's Law tests.
Ml_riskmanagement
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116
Short Course - Applied Machine Learning for Risk Management
Fraud Detection Using Machine Learning
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98
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Deepai
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74
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Fraud Detection
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71
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Fraud_detection_techniques
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53
Fraud Detection Papers
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45
Learning Fraud Detection from research papers and industry applications.
Demo Fraud Detection With P2p
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42
Exploring Neo4j and Graph Data Science for Fraud Detection
Xgboost Smote Detect Fraud
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41
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!
Fraud_detection
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30
Tuning XGBoost hyper-parameters with Simulated Annealing
Dealing With Imbalanced Data
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29
Using Imblearn To Tackle Imbalanced Data Sets
Predict Fraud Using Auto Ai
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28
Use AutoAI to detect fraud
Deepad
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25
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Fraud Detection In Online Transactions
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23
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Spartan2 Tutorials
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22
Enronfraud
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16
Fraud Detection by finding the Person of Interest (POI)
Fraud Detection
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13
Mlsys Nyu 2022
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12
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Workshop Unsupervised Fraud
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12
Material for the AMLD2020 workshop on unsupervised fraud detection
Feature Engineering For Fraud Detection
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12
Implementation of feature engineering from Feature engineering strategies for credit card fraud
Frauddetection
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11
Examples and Tutorials related to fraud detection with machine learning and deep learning
Customer360
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11
Customer 360 analytics powered by MapR
Talkingdata
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11
TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Dcic2023 Fraud Risk Identification
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9
本赛题旨在运用有效的金融科技和大数据系统,分析涉赌涉诈资金交易新方式,持续优化风险监测模型,通过赛题
Fraud Detection Model Serving
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8
Online model serving with Fraud Detection model trained with XGBoost on IEEE-CIS dataset
Credit Card Fraud Detection
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6
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.
Sagemaker Pipelines
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5
IEEE-CIS Fraud Detection with Sagemaker Pipelines
Medicare Fraud Detection
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5
A machine learning based application to help detect fraud among Medicare practitioners.
Credit Card Fraud Detection Sampling Methods
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5
Credit card fraud detection: A comparison between a logistic regression model, random forest and DNN when using under and over sampling methods to determine which approach returns the best evaluation metrics.
Tbrain_credit_card
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5
Solution of TBrain's Credit Card Fraudulent Transaction Detection
Dirty Moni Detector
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5
An webapp to detect if an given wallet is involved in moneylaundering/fraud
Web Crawler Detection
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5
Web Crawler Detection using Unsupervised Algorithms
Courseaca
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5
A series of interactive lab notebooks we prepared for the ACA course on "Internal Audit Knowledge Elements". The content of the series is based on Python, IPython Notebook, and PyTorch.
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1-35 of 35 search results
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