ChrisKuoColumbiaU / FraudDetection
Data Anomaly and Fraud Detection with Python and R
☆22Updated 6 years ago
Alternatives and similar repositories for FraudDetection
Users that are interested in FraudDetection are comparing it to the libraries listed below
Sorting:
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- ☆136Updated 6 years ago
- Featureselection methods as Spark MLlib Pipelines☆30Updated 7 years ago
- Sample application running fbprophet using spark☆48Updated 6 years ago
- Project work for Udacity's AB Testing Course☆82Updated 8 years ago
- Exploring Neo4j and Graph Data Science for Fraud Detection☆72Updated last year
- Code repository for Large Scale Machine Learning with Spark by Packt☆20Updated 2 years ago
- Finding similar, high-valued users based on seed users. The model includes 1805 features using Hive HQL and AWS Redshift.☆35Updated 6 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Record matching and entity resolution at scale in Spark☆34Updated last year
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- A notes for Recommender System Handbook.☆24Updated 4 years ago
- PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2☆85Updated 5 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
- AML End to End Example☆54Updated 2 years ago
- Python implementation of the population stability index (PSI)☆139Updated last year
- scikit-learn compatible tools for building credit risk acceptance models☆99Updated 3 months ago
- Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.☆103Updated 5 years ago
- Mastering Spark for Data Science, published by Packt☆47Updated 2 years ago
- This repo contains all the code required by the book organized by chapter☆72Updated 3 years ago
- Reatail-hero X5 contest☆13Updated 11 months ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆45Updated 2 years ago
- Apache Spark 2x Machine Learning Cookbook, published by Packt☆29Updated 2 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Finding customer lookalikes using Machine Learning in PySpark☆33Updated 6 years ago