Rule-based Customer Segmentation

Last update: Jan 03, 2022

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Overview

Rule-based Customer Segmentation

Business Problem

A game company wants to create level-based new customer definitions (personas) by using some features of its customers, and to create segments according to these new customer definitions and to estimate how much the new customers can earn on average according to these segments.

For Example: How much money come from it's customer who is 25-year-old, male and from Turkey, and he is an IOS user.

Dataset

Persona.csv dataset contains the prices of the products sold by an international game company and some demographic information of the users who buy these products.The data set consists of records created in each sales transaction.This means that the table is not deduplicated.In other words, a user with certain demographic characteristics may have made more than one purchase.

Owner

Cem Çaluk

Data Science

GitHub Repository

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Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

Owner

Cem Çaluk

TensorFlow implementation of Barlow Twins (Barlow Twins: Self-Supervised Learning via Redundancy Reduction)

Code and data for ImageCoDe, a contextual vison-and-language benchmark

An automated algorithm to extract the linear blend skinning (LBS) from a set of example poses

Based on Stockfish neural network(similar to LcZero)

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

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PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

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This repository provides some of the code implemented and the data used for the work proposed in "A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems".

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TakeInfoatNistforICS - Take Information in NIST NVD for ICS

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