Fraud-Detection-Handbook / awesome-credit-card-fraud-detectionLinks
A curated list of resources on credit card fraud detection.
☆17Updated 4 years ago
Alternatives and similar repositories for awesome-credit-card-fraud-detection
Users that are interested in awesome-credit-card-fraud-detection are comparing it to the libraries listed below
Sorting:
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 8 months ago
- A few end to end examples that use data-describe☆16Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- ☆48Updated last year
- ☆26Updated 5 years ago
- Function for automatically detecting Simpson's Paradox☆18Updated 4 years ago
- ☆16Updated 7 years ago
- Example project for running LensKit experiments☆13Updated 2 months ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Sample techniques for a variety of feature extraction methods☆31Updated 4 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- A selection of business datasets☆18Updated 5 years ago
- Data Scientist code test☆19Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 3 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆37Updated 6 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- ☆12Updated 5 years ago
- ☆19Updated 4 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 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
- Insurance fraud claims analysis project☆54Updated last year
- Tutorials & articles on Python, leetcode problems, pandas, and more.☆26Updated 2 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago