Level Based Customer Segmentation

Last update: Dec 21, 2021

Overview

level_based_customer_segmentation

Level Based Customer Segmentation Persona Veri Seti kullanılarak müşteri segmentasyonu yapılmıştır.

KOLONLAR :

PRICE – Müşterinin harcama tutarı
SOURCE – Müşterinin bağlandığı cihaz türü
SEX – Müşterinin cinsiyeti
COUNTRY – Müşterinin ülkesi AGE – Müşterinin yaşı

ADIMLAR:

Yaş değişkeni binleri içerecek şekilde kategorikleştirilmiştir.
Seviye tabanlı müşterileri (persona) tanımları yapılmıştır.
Price değişkeni kullanılarak müşterilere 4 segmente [A, B, C, D] ayrılmıştır.
Yeni gelen müşteri için segment tahmini yapılmıştır.

Owner

Buse Yıldırım

GitHub Repository

An updated version of virtual model making

Model-Swap-Face v2 这个项目是基于stylegan2 pSp制作的，比v1版本Model-Swap-Face在推理速度和图像质量上有一定提升。主要的功能是将虚拟模特进行环球不同区域的风格转换，目前转换器提供西欧模特、东亚模特和北非模特三种主流的风格样式，可帮我们实现生产资料零成

62 Dec 09, 2022

PaddleBoBo是基于PaddlePaddle和PaddleSpeech、PaddleGAN等开发套件的虚拟主播快速生成项目

PaddleBoBo - 元宇宙时代，你也可以动手做一个虚拟主播。 PaddleBoBo是基于飞桨PaddlePaddle深度学习框架和PaddleSpeech、PaddleGAN等开发套件的虚拟主播快速生成项目。PaddleBoBo致力于简单高效、可复用性强，只需要一张带人像的图片和一段文字，就能

502 Jan 08, 2023

Internship Assessment Task for BaggageAI.

BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-

10 Nov 14, 2022

Keras-1D-ACGAN-Data-Augmentation

Keras-1D-ACGAN-Data-Augmentation What is the ACGAN(Auxiliary Classifier GANs) ? Related Paper : [Abstract : Synthesizing high resolution photorealisti

7 Dec 23, 2022

Deep Learning for Computer Vision final project

1 Nov 30, 2021

This is the replication package for paper submission: Towards Training Reproducible Deep Learning Models.

0 Feb 02, 2022

Python binding for Khiva library.

Khiva-Python Build Documentation Build Linux and Mac OS Build Windows Code Coverage README This is the Khiva Python binding, it allows the usage of Kh

46 Oct 16, 2022

Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'

Filtration Curves for Graph Representation This repository provides the code from the KDD'21 paper Filtration Curves for Graph Representation. Depende

16 Oct 16, 2022

Hyperbolic Hierarchical Clustering.

Hyperbolic Hierarchical Clustering (HypHC) This code is the official PyTorch implementation of the NeurIPS 2020 paper: From Trees to Continuous Embedd

154 Dec 15, 2022

A semantic segmentation toolbox based on PyTorch

Introduction vedaseg is an open source semantic segmentation toolbox based on PyTorch. Features Modular Design We decompose the semantic segmentation

407 Dec 15, 2022

HMLLDB is a collection of LLDB commands to assist in the debugging of iOS apps.

HMLLDB is a collection of LLDB commands to assist in the debugging of iOS apps. 中文介绍 Features Non-intrusive. Your iOS project does not need to be modi

47 Oct 22, 2022

Simulations for Turring patterns on an apically expanding domain. T

Turing patterns on expanding domain Simulations for Turring patterns on an apically expanding domain. The details about the models and numerical imple

0 Aug 03, 2021

Machine learning for NeuroImaging in Python

nilearn Nilearn enables approachable and versatile analyses of brain volumes. It provides statistical and machine-learning tools, with instructive doc

919 Dec 25, 2022

This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your username and app/website.

PasswordGeneratorAndVault This program generates a random 12 digit/character password (upper and lowercase) and stores it in a file along with your us

1 Feb 26, 2022

PyElecCL - Electron Monte Carlo Second Checks

PyElecCL Python program to perform second checks for electron Monte Carlo radiat

3 Feb 22, 2022

Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available for research purposes.

Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available f

5 Nov 10, 2022

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have undergone breast cancer surgery.

Patient-Survival - Using Python, I developed a Machine Learning model using classification techniques such as Random Forest and SVM classifiers to predict a patient's survival status that have underg

1 Dec 28, 2021