Rule-based Customer Segmentation

Last update: Jan 3, 2022

Related tags

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.

You might also like...

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

TradingGym TradingGym is a toolkit for training and backtesting the reinforcement learning algorithms. This was inspired by OpenAI Gym and imitated th

1.1k Jan 2, 2023

Continuous Security Group Rule Change Detection & Response at scale

Introduction Get notified of Security Group Changes across all AWS Accounts & Regions in an AWS Organization, with the ability to respond/revert those

3 Aug 13, 2022

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation)

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation) Download Synthia dataset The model uses

32 Sep 21, 2022

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP Abstract: We introduce a method that allows to automatically se

134 Dec 19, 2022

TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

147 Dec 3, 2022

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation "

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation ". Please

610 Dec 28, 2022

Realtime segmentation with ENet, the fast and accurate segmentation net.

Enet This is a realtime segmentation net with almost 22 fps on GTX1080 ti, and the model size is very small with only 28M. This repo contains the infe

14 Aug 30, 2022

Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

ADE20k Semantic segmentation with MAE Getting started Install the mmsegmentation

97 Dec 17, 2022

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;

13 Oct 9, 2022

Owner

Cem Çaluk

Data Science

GitHub

Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

You might also like...

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Continuous Security Group Rule Change Detection & Response at scale

Recall Loss for Semantic Segmentation (This repo implements the paper: Recall Loss for Semantic Segmentation)

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation "

Realtime segmentation with ENet, the fast and accurate segmentation net.

Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation

Owner

Cem Çaluk

App customer segmentation cohort rfm clustering

Customer Segmentation using RFM

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion

PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

Rule Based Classification Project

Rule Based Classification Project For Python

Rule based classification A hotel s customers dataset

PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

A rule-based log analyzer & filter