Rule Based Classification Project For Python

Last update: Oct 29, 2022

Overview

Rule-Based-Classification-Project (ENG)

Business Problem: A game company wants to create new level-based customer definitions (personas) by using some features of its customers, create segments according to these new customer definitions, and estimate how much the new customers who may come according to these segments can earn the company on average.

For example: It is desired to determine how much a 25-year-old male user from Turkey who is an IOS user can earn on average.

Kural Tabanlı Sınıflandırma ile Potansiyel Müşteri Getirisi Hesaplama (TUR)

İş Problemi: Bir oyun şirketi müşterilerinin bazı özelliklerini kullanaraknseviye tabanlı (level based) yeni müşteri tanımları (persona) oluşturmak ve bu yeni müşteri tanımlarına göre segmentler oluşturup bu segmentlere göre yeni gelebilecek müşterilerin şirkete ortalama ne kadar kazandırabileceğini tahmin etmek istemektedir.

Örneğin: Türkiye’den IOS kullanıcısı olan 25 yaşındaki bir erkek kullanıcının ortalama ne kadar kazandırabileceği belirlenmek isteniyor.

Rule Based Classification Project For Python

Related tags

Overview

Rule-Based-Classification-Project (ENG)

Kural Tabanlı Sınıflandırma ile Potansiyel Müşteri Getirisi Hesaplama (TUR)

Owner

Deniz Can OĞUZ

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Rule Based Classification Project For Python

Related tags

Overview

Rule-Based-Classification-Project (ENG)

Kural Tabanlı Sınıflandırma ile Potansiyel Müşteri Getirisi Hesaplama (TUR)

Owner

Deniz Can OĞUZ

Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"

Generalized hybrid model for mode-locked laser diodes with an extended passive cavity

[CVPR-2021] UnrealPerson: An adaptive pipeline for costless person re-identification

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

SeqAttack: a framework for adversarial attacks on token classification models

This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time

Script for getting information in discord

Benchmarking the robustness of Spatial-Temporal Models

This repository contains the code for the paper 'PARM: Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval' published at ECIR'22.

Material for my PyConDE & PyData Berlin 2022 Talk "5 Steps to Speed Up Your Data-Analysis on a Single Core"

Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection

An evaluation toolkit for voice conversion models.

EMNLP 2021 paper The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.

Pretraining Representations For Data-Efficient Reinforcement Learning

Understanding the Generalization Benefit of Model Invariance from a Data Perspective

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers (NeurIPS 2021)

The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

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