Das00130 / Anti-Money-Laundering-using-KerasLinks
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
☆53Updated 6 years ago
Alternatives and similar repositories for Anti-Money-Laundering-using-Keras
Users that are interested in Anti-Money-Laundering-using-Keras are comparing it to the libraries listed below
Sorting:
- Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…☆22Updated 7 years ago
- Insurance fraud claims analysis project☆54Updated last year
- ☆22Updated 5 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Use AutoAI to detect fraud☆33Updated 2 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆87Updated 6 years ago
- Sample of Python codes from mathematical problems☆110Updated 6 years ago
- ☆11Updated 4 years ago
- Building Chatbots with Rasa,Spacy,Wit.Ai,etc☆30Updated 7 years ago
- ☆27Updated 7 years ago
- Machine learning and process automation☆138Updated 2 years ago
- Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine☆33Updated 2 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 2 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆53Updated 9 months ago
- ☆33Updated 7 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 6 years ago
- ☆56Updated 5 years ago
- TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.☆15Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Online-lending fraud detection with customers' sequential behavioral data (End-to-end ML and NLP project).☆19Updated 4 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆90Updated 2 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆96Updated 6 months ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆21Updated 3 years ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆19Updated 8 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 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 7 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆22Updated 6 years ago
- Time series analytics with Python☆17Updated 9 years ago
- Hands-On Artificial Intelligence for Banking, published by Packt☆149Updated last month