klaudia-nazarko / iv-and-woe-python
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
☆48Updated 3 years ago
Alternatives and similar repositories for iv-and-woe-python
Users that are interested in iv-and-woe-python 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.☆46Updated 7 years ago
- ☆136Updated 6 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated 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
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 5 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Implementing A/B Tests in Python☆28Updated 5 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆140Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- ☆14Updated 7 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆11Updated 2 years ago
- ☆18Updated 3 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆99Updated 3 months ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 3 years ago
- Repository of all the python codes for the Book : Practical Statistics for Data Scientists.☆25Updated 6 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 9 months ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆115Updated 6 years ago
- tutorial about recommendation system☆15Updated 5 years ago
- ☆98Updated 3 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Live Training: Market Basket Analysis in Python☆46Updated 4 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- ☆37Updated 7 years ago