dachosen1 / Feature-Engineering-for-Fraud-DetectionLinks
Implementation of feature engineering from Feature engineering strategies for credit card fraud
☆41Updated 4 years ago
Alternatives and similar repositories for Feature-Engineering-for-Fraud-Detection
Users that are interested in Feature-Engineering-for-Fraud-Detection are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- Various methods for generating synthetic data for data science and ML☆80Updated 3 years ago
- Quick Implementation in python☆53Updated 5 years ago
- References to the Medium articles☆86Updated 2 years ago
- This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information val…☆48Updated 3 years ago
- ☆32Updated last year
- Analysis for Customer Segmentation☆71Updated 4 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Example usage of scikit-hts☆57Updated 3 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 comprehensive credit risk model and scorecard using data from Lending Club☆142Updated 4 years ago
- 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
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- ☆136Updated 6 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆49Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- The Ultimate Product Data Science & Analytics Resource☆68Updated 3 years ago
- ☆28Updated 7 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 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
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- Effective Approaches for Time Series Anomaly Detection☆11Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆20Updated 3 years ago
- Code repository for the online course Feature Selection for Machine Learning☆324Updated 9 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 2 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆37Updated 6 years ago
- Dockerize and deploy machine learning model as REST API using Flask☆78Updated 2 years ago