dachosen1 / Feature-Engineering-for-Fraud-DetectionLinks
Implementation of feature engineering from Feature engineering strategies for credit card fraud
☆43Updated 5 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:
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆50Updated 5 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Quick Implementation in python☆53Updated 6 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- References to the Medium articles☆86Updated 3 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
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆65Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 3 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆149Updated 4 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆77Updated 5 years ago
- ☆32Updated last year
- CentOS based Docker container for Time Series Analysis and Modeling.☆22Updated 6 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆12Updated 8 years ago
- Effective Approaches for Time Series Anomaly Detection☆11Updated 5 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 6 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
- ☆136Updated 7 years ago
- Timeseries for everyone☆263Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 3 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- AML End to End Example☆55Updated 3 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆21Updated 3 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- Recommender System Repo☆33Updated 6 years ago