avayang / Fraud_Detection_with_Sequential_User_BehaviorLinks
Online-lending fraud detection with customers' sequential behavioral data (End-to-end ML and NLP project).
☆19Updated 5 years ago
Alternatives and similar repositories for Fraud_Detection_with_Sequential_User_Behavior
Users that are interested in Fraud_Detection_with_Sequential_User_Behavior are comparing it to the libraries listed below
Sorting:
- Score card model for Credit Scoring System.☆121Updated 6 years ago
- credit risk score card develop by python(version 3.6)☆40Updated 8 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆61Updated 6 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 8 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆23Updated 6 years ago
- This is the behavior scorecard, which includes three modules, including data processing, establishment of score card and effect evaluatio…☆19Updated 6 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆65Updated 5 years ago
- A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 1…☆30Updated 8 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- 《智能风控——原理、算法与工程实践》☆33Updated 4 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆46Updated 4 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆54Updated 8 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 3 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆52Updated 4 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 6 years ago
- Fraud detection in bank transactions using graph databases and machine learning.☆26Updated 5 years ago
- kaggle: IEEE-CIS Fraud Detection☆30Updated 6 years ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆116Updated 6 years ago
- Address imbalance classes in machine learning projects.☆65Updated 7 years ago
- This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…☆20Updated 6 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Hands-On Ensemble Learning with Python, published by packt publishing☆54Updated 2 years ago
- 零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结☆67Updated 2 years ago
- Kaggle elo competition top gold medal solution☆13Updated 6 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 7 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆134Updated 3 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆261Updated 7 years ago
- ☆113Updated 8 years ago