Rule Based Classification Project

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Deep LearningRule-Based-Classification-Project
Overview

Kural Tabanlı Sınıflandırma ile Potansiyel Müşteri Getirisi Hesaplama

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.

Owner
Şafak
Şafak
GitHub Repository
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

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Georgetown Information Retrieval Lab 76 Sep 05, 2022
Mining-the-Social-Web-3rd-Edition - The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

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Mikhail Klassen 838 Jan 01, 2023
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This repository contains code for the paper Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiati

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A simple AI that will give you si ple task and this is made with python

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AutoViz and Auto_ViML 102 Dec 17, 2022
[NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".

SMYRF: Efficient attention using asymmetric clustering Get started: Abstract We propose a novel type of balanced clustering algorithm to approximate a

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Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

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Amazon Web Services - Labs 123 Dec 23, 2022
Aspect-Sentiment-Multiple-Opinion Triplet Extraction (NLPCC 2021)

The code and data for the paper "Aspect-Sentiment-Multiple-Opinion Triplet Extraction" Requirements Python 3.6.8 torch==1.2.0 pytorch-transformers==1.

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NeWT: Natural World Tasks

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Motion and Shape Capture from Sparse Markers

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Weakly Supervised End-to-End Learning (NeurIPS 2021)

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Pmapper is a super-resolution and deconvolution toolkit for python 3.6+

pmapper pmapper is a super-resolution and deconvolution toolkit for python 3.6+. PMAP stands for Poisson Maximum A-Posteriori, a highly flexible and a

NASA Jet Propulsion Laboratory 8 Nov 06, 2022
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

pyRiemann pyRiemann is a python package for covariance matrices manipulation and classification through Riemannian geometry. The primary target is cla

447 Jan 05, 2023
User-friendly bulk RNAseq deconvolution using simulated annealing

Welcome to cellanneal - The user-friendly application for deconvolving omics data sets. cellanneal is an application for deconvolving biological mixtu

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