Das00130 / Anti-Money-Laundering-using-Keras
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
☆50Updated 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
- ☆20Updated 4 years ago
- Updated 7 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…☆21Updated 6 years ago
- DUNS- Machine Learning Anti-Money Laundering Solution☆21Updated 8 years ago
- Fair ML in credit scoring: Assessment, implementation and profit implications☆35Updated 2 years ago
- Repository to maintain all my clutter☆75Updated 3 years ago
- Anomaly detection system for medical insurance claims data☆15Updated 7 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…☆21Updated 2 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆51Updated 2 months ago
- Movie recommendations based on user written passages about preferred movies.☆16Updated 5 years ago
- ☆23Updated 4 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Token and sentence level embeddings from FinBERT model (Finance Domain)☆38Updated last year
- 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…☆31Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on …☆54Updated 5 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆23Updated 6 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆16Updated 8 years ago
- ☆22Updated 3 years ago
- Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA☆30Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Use AutoAI to detect fraud☆33Updated 2 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆92Updated 2 weeks ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 7 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Credit scoring machine learning algorithm which predicts probability of default☆78Updated 7 years ago
- LGBM☆15Updated 3 years ago