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:
- Quick Implementation in python☆53Updated 5 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Analysis for Customer Segmentation☆71Updated 5 years ago
- References to the Medium articles☆87Updated 2 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆20Updated 3 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆63Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆90Updated 2 years ago
- Timeseries for everyone☆259Updated 2 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆12Updated 7 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆144Updated 4 years ago
- ☆32Updated last year
- 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
- Tuning XGBoost hyper-parameters with Simulated Annealing☆53Updated 8 years ago
- Effective Approaches for Time Series Anomaly Detection☆11Updated 5 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆35Updated 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
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 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 month
- How to Interpret SHAP Analyses: A Non-Technical Guide☆56Updated 3 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Various methods for generating synthetic data for data science and ML☆80Updated 4 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆82Updated 8 months ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago