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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191 Dec 31, 2022

Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

Owner

Cem Çaluk

Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces

Code to train models from "Paraphrastic Representations at Scale".

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A simple Tensorflow based library for deep and/or denoising AutoEncoder.

Keras implementation of Deeplab v3+ with pretrained weights

Benchmarks for Object Detection in Aerial Images

EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers.

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IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales

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