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

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

V-MPO Simple code to demonstrate Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO) in Pyt

9 Jun 06, 2022

Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Fast mesh denoising with data driven normal filtering using deep variational autoencoders This is an implementation for the paper entitled "Fast mesh

9 Dec 02, 2022

Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Code For the Paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective" Author: Robert Bamler Date: 22 D

4 Nov 02, 2022

K-Nearest Neighbor in Pytorch

Pytorch KNN CUDA 2019/11/02 This repository will no longer be maintained as pytorch supports sort() and kthvalue on tensors. git clone https://github.

65 Dec 01, 2022

SGPT: Multi-billion parameter models for semantic search

SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi

182 Dec 29, 2022

4D Human Body Capture from Egocentric Video via 3D Scene Grounding

4D Human Body Capture from Egocentric Video via 3D Scene Grounding [Project] [Paper] Installation: Our method requires the same dependencies as SMPLif

37 Nov 08, 2022

Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)

Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021) This repository is for the following paper: "Investigating Attention

52 Nov 19, 2022

This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".

Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation This repo is the official implementation of Exploiting Temporal Con

241 Jan 07, 2023

3D Human Pose Machines with Self-supervised Learning

3D Human Pose Machines with Self-supervised Learning Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, and Pengxu Wei, “3D Human Pose Machines with Self

398 Dec 20, 2022

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (CVPR 2021, oral presentation) CoCosNet v2: Full-Resolution Correspondence

308 Dec 07, 2022

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

FaceAPI AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using

395 Dec 29, 2022

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning The predictive learning of spatiotemporal sequences aims to generate future

243 Dec 26, 2022

Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

Owner

Cem Çaluk

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

K-Nearest Neighbor in Pytorch

SGPT: Multi-billion parameter models for semantic search

4D Human Body Capture from Egocentric Video via 3D Scene Grounding

Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)

This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".

3D Human Pose Machines with Self-supervised Learning

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

BuildingNet: Learning to Label 3D Buildings

Convolutional Neural Network for Text Classification in Tensorflow

TensorFlow Tutorials with YouTube Videos

Generative Adversarial Networks(GANs)

A script written in Python that returns a consensus string and profile matrix of a given DNA string(s) in FASTA format.

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

Fast and customizable reconnaissance workflow tool based on simple YAML based DSL.

Jittor implementation of PCT:Point Cloud Transformer

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.