saritmaitra / Segmentation-ClusteringLinks
Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any database that has purchase history, and are easy to comprehend, yet very powerful in their predictive ability.
☆15Updated last year
Alternatives and similar repositories for Segmentation-Clustering
Users that are interested in Segmentation-Clustering are comparing it to the libraries listed below
Sorting:
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆44Updated 4 years ago
- Implementing A/B Tests in Python☆28Updated 5 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆66Updated 8 months ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- ☆32Updated last year
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆74Updated 5 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆23Updated 3 years ago
- Unsupervised ML: Finding Customer Segments in General Population☆16Updated 5 years ago
- Repository for GH public projects☆18Updated last year
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆48Updated 4 years ago
- ☆17Updated 8 months ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- ☆21Updated last year
- ☆13Updated 4 years ago
- ☆26Updated 5 years ago
- Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard☆10Updated 4 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- ☆26Updated 3 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 5 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated last year
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- Book Projects☆24Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆27Updated 5 years ago