jimmycy93 / Credit-Card-Fraud-DetectionLinks
A project on machine learning techniques dealing with imbalanced classification (Python)
☆11Updated 7 years ago
Alternatives and similar repositories for Credit-Card-Fraud-Detection
Users that are interested in Credit-Card-Fraud-Detection are comparing it to the libraries listed below
Sorting:
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- ☆32Updated last year
- ☆23Updated last year
- ☆136Updated 6 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- ☆26Updated 3 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 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
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- ☆50Updated 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…☆63Updated 4 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
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Random stuff I've been working on☆28Updated last year
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 11 months ago
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 5 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 8 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation☆36Updated 8 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- ☆113Updated 7 years ago