Rule-based Customer Segmentation

Last update: Jan 03, 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.

Owner

Cem Çaluk

Data Science

GitHub Repository

Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

Region Proportion Regularized Inference (RePRI) for Few-Shot Segmentation In this repo, we provide the code for our paper : "Few-Shot Segmentation Wit

138 Dec 12, 2022

The FIRST GANs-based omics-to-omics translation framework

OmiTrans Please also have a look at our multi-omics multi-task DL freamwork 👀 : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi

6 Dec 14, 2022

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

Image Classification Project Killer in PyTorch This repo is designed for those who want to start their experiments two days before the deadline and ki

349 Dec 08, 2022

Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

Detection-aided liver lesion segmentation Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the

96 Oct 26, 2022

COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models

COVID-ViT COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models This code is to response to te MIA-COV19 compe

17 Dec 30, 2022

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

Deep Vision and Graphics This repo supplements course "Deep Vision and Graphics" taught at YSDA @fall'21. The course is the successor of "Deep Learnin

160 Jan 02, 2023

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Code for CCA-SSG model proposed in the NeurIPS 2021 paper From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.

44 Nov 27, 2022

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

BBB Face Recognizer Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time. Instalati

232 Dec 24, 2022

Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021

Learning Generative Models of Textured 3D Meshes from Real-World Images This is the reference implementation of "Learning Generative Models of Texture

115 Jan 07, 2023

This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-encoder in Pytorch This repository implements variational graph auto-encoder by Thomas Kipf. For details of the model, refer to

215 Jan 02, 2023

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

MVGCN MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks. Developer: Fu Hait

13 Dec 01, 2022

Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

Owner

Cem Çaluk

Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

The FIRST GANs-based omics-to-omics translation framework

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021

This repository implements variational graph auto encoder by Thomas Kipf.

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

Automatic differentiation with weighted finite-state transducers.

[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

Pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021).

Pytorch reimplementation of PSM-Net: "Pyramid Stereo Matching Network"

Medical image analysis framework merging ANTsPy and deep learning

A simple pygame dino game which can also be trained and played by a NEAT KI

Raindrop strategy for Irregular time series

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Hydra: an Extensible Fuzzing Framework for Finding Semantic Bugs in File Systems