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

Extremely easy multi instancing software for minecraft speedrunning.

Easy Multi Extremely easy multi/single instancing software for minecraft speedrunning. A couple of goals of this project: Setup multi in minutes No fi

8 Jul 16, 2022

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

199 Jan 04, 2023

Implicit Model Specialization through DAG-based Decentralized Federated Learning

Federated Learning DAG Experiments This repository contains software artifacts to reproduce the experiments presented in the Middleware '21 paper "Imp

5 Oct 16, 2022

RL-driven agent playing tic-tac-toe on starknet against challengers.

tictactoe-on-starknet RL-driven agent playing tic-tac-toe on starknet against challengers. GUI reference: https://pythonguides.com/create-a-game-using

21 Jul 30, 2022

Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

NeuralSymbolicRegressionThatScales Pytorch implementation and pretrained models for the paper "Neural Symbolic Regression That Scales", presented at I

35 Nov 25, 2022

Adaptive Attention Span for Reinforcement Learning

Adaptive Transformers in RL Official implementation of Adaptive Transformers in RL In this work we replicate several results from Stabilizing Transfor

100 Nov 15, 2022

FSL-Mate: A collection of resources for few-shot learning (FSL).

FSL-Mate is a collection of resources for few-shot learning (FSL). In particular, FSL-Mate currently contains FewShotPapers: a paper list which tracks

1.5k Jan 08, 2023

An expansion for RDKit to read all types of files in one line

RDMolReader An expansion for RDKit to read all types of files in one line How to use? Add this single .py file to your project and import MolFromFile(

1 Dec 18, 2021

The code is the training example of AAAI2022 Security AI Challenger Program Phase 8: Data Centric Robot Learning on ML models.

Example code of [Tianchi AAAI2022 Security AI Challenger Program Phase 8]

22 Oct 14, 2022

PECOS - Prediction for Enormous and Correlated Spaces

PECOS - Predictions for Enormous and Correlated Output Spaces PECOS is a versatile and modular machine learning (ML) framework for fast learning and i

387 Jan 04, 2023

Alignment Attention Fusion framework for Few-Shot Object Detection

AAF framework Framework generalities This repository contains the code of the AAF framework proposed in this paper. The main idea behind this work is

20 Dec 16, 2022

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The offical PyTorch implementation of Neural View Sy

20 Oct 09, 2022

Level Based Customer Segmentation

Related tags

Overview

level_based_customer_segmentation

Owner

Buse Yıldırım

Extremely easy multi instancing software for minecraft speedrunning.

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

Implicit Model Specialization through DAG-based Decentralized Federated Learning

RL-driven agent playing tic-tac-toe on starknet against challengers.

Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"

Adaptive Attention Span for Reinforcement Learning

FSL-Mate: A collection of resources for few-shot learning (FSL).

An expansion for RDKit to read all types of files in one line

The code is the training example of AAAI2022 Security AI Challenger Program Phase 8: Data Centric Robot Learning on ML models.

PECOS - Prediction for Enormous and Correlated Spaces

Alignment Attention Fusion framework for Few-Shot Object Detection

The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

Real Time Object Detection and Classification using Yolo Algorithm.

This is official implementaion of paper "Token Shift Transformer for Video Classification".

Collection of common code that's shared among different research projects in FAIR computer vision team.

The final project for "Applying AI to Wearable Device Data" course from "AI for Healthcare" - Udacity.

Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network.

A full pipeline AutoML tool for tabular data

Gesture Volume Control v.2

Mmdet benchmark with python