Alternatives and similar repositories for Money-Laundering-Detector

Users that are interested in Money-Laundering-Detector are comparing it to the libraries listed below

• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆54Updated last year
• Charlio / anti-money-laundering
  ☆1Updated 7 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 8 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆104Updated 2 years ago
• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆16Updated 8 years ago
• Das00130 / Anti-Money-Laundering-using-Keras
  Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
  ☆52Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• IBM / predict-fraud-using-auto-ai
  Use AutoAI to detect fraud
  ☆33Updated 2 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• prateekjoshi565 / topic_modeling_online_reviews
  ☆33Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• ritikabhasker / Intro-to-EDA
  Workshop and lesson on Exploratory Data Analysis
  ☆12Updated 3 months ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆88Updated 5 years ago
• ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
  What makes convnets so powerful at image classification?
  ☆46Updated 7 years ago
• susanli2016 / TensorFlow-2.0-Keras
  TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.
  ☆15Updated 5 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 6 years ago
• MayukhSobo / EnronFraud
  Fraud Detection by finding the Person of Interest (POI)
  ☆23Updated 7 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆25Updated 7 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆104Updated 5 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆37Updated 6 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 8 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆89Updated 2 years ago
• justinng1 / berka
  ☆27Updated 7 years ago