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GitHub topics: churn-user-prediction

BhavyaBhargava/US_Telco_Churn_Analysis_and_Prediction

Prediction and Analysis of Customer Churn for a US Telecom Company

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JingChunzhen/churn_analysis_SDK

通过游戏埋点数据挖掘进行游戏用户流失分析

Language: Python - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 22 - Forks: 11

tringuyenbao/Iranian-Telecom-Customer-Churn-Prediction

Prediction model for customer churn status of a Iranian Telecom company

Language: Jupyter Notebook - Size: 13 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shinho123/23.11.10-1st-Korean-Society-of-Industrial-Engineers

2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

Language: Jupyter Notebook - Size: 45 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

nadaataiyab/diabesties

Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.

Language: Jupyter Notebook - Size: 37.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0

ztqsteve/Music-Box-Project

Predict users churn for a music box app.

Language: Jupyter Notebook - Size: 764 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

sudarshan-koirala/Geo-Demographic-Segmentation-model-using-ANN

Building an Artificial Neural Networks (ANN) to access the churn rate of a customer (whether a customer will leave the bank or not)

Language: Jupyter Notebook - Size: 267 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Foroughmo/Telco-Customer-Churn

Focused customer retention programs

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LaurentVeyssier/Minimizing-Churn-of-subscription-product-through-usage-analysis

Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

coletangsy/MLProject-Churn-Prediction

This repository holding a case study on analysis churn in Telecom and building a machine learning model to classify the customer who is likely to churn, which includes EDA, Prediction Model Building, Presentation PDF.

Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

eiliaJafari/tree-based-customer-churn-rate

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

phaecki/Customer-churn-prediction

Verwendung von Tidymodel zur Vorhersage der Kundenabwanderung. | Using Tidymodels to predict customer churn.

Size: 266 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

InoneSummer/wowproject

The effect of social interaction on individual churn decision in MMORPG Game

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

wainaina-peter/Customer-Churn-Prediction-Predictive-Analysis-

This repository contains a customer churn prediction model implemented using logistic regression.

Language: Jupyter Notebook - Size: 731 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HassaanSaleem/CustomerChurn

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gswarge/predict_customer_churn

In this project I try to build a logistic regression based model to predict whether the customer will churn out of telecom service or not.

Language: R - Size: 86.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

cnai-ds/Datathon-Criteo-Benchmark-Churn-Date

Datathon with a retargeting ad company. Churn date prediction (Normalized RSME 38), clustering (98% Silhouette), automated identification of the gaps between best and average client within a cluster.

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

hhej/sparkify

Sparkify User Churn Prediction

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

alimfa/Alura-Voz

Classificação de clientes para redução da Churn Rate

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

coderjolly/customer-churn-prediction

It is prediction strategy used to understand the the factors required to retains customers. Showcased classical machine learning algorithm to analyse and understand the telecom customer dataset using SVMs, Decisions Trees, Random Forests etc.

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rorycawley/MSc-Dissertation

DissertationCA2

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imumi17/Telecom-Churn-Case-Study

Telecom-Churn-Case-Study

Language: Jupyter Notebook - Size: 474 KB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 2

dwsmith1983/teleco_churn_kaggle

Predicting Teleco churn dataset from Kaggle. In this repo, I take 3 solution notebooks and combine the analysis into one with some updates.

Language: Jupyter Notebook - Size: 9.88 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 2

jajokine/Business-Cases

Exploring various business cases by using a wide range of statistical methods and machine learning techniques

Language: Jupyter Notebook - Size: 66.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

JayDS22/Churn-Prediction

Build an End-to-End Data Science Project to predict customer churn for the Telecom industry and provide prescriptive countermeasures.

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

SolanaO/Customer_Churn_Prediction

Binary classification project in PySpark on an AWS-EMR cluster to predict customer churn.

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sowmini4901/CustomerChurnPrediction

For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.

Language: Jupyter Notebook - Size: 643 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

carlostomeh/TG_Analitycs_Solutions

Projeto que engloba soluções de Analitycs para empresas do mercado financeiro. Neste projeto envolvemos problemas de Fraud Detection, Churn Detection e Credit Score.

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

VictorLJay/Customer-Churn-Predictor Fork of ta-data-bcn/Project-Week-8-Final-Project

Churn analysis predictor, combining TensorFlow and Supervised Machine Learning

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BharatMaheshwari96/Employee-churn-prediction

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vivek-101/Telecom_Churn

Predicts weather the customer will stay with the current telecom company or leave

Language: Python - Size: 44.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

raunak274/Churn_Analysis

Importance of churn Analysis and some concept upon it

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BharatMaheshwari96/churnprediction

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maryblack/uma_tech_DS

Uma.Challenge online-конкурс в сфере информационных технологий. Направление Data Science.

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prodo56/Sparkify-predicting-churn

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Lal4Tech/Churn-Prediction

Different methods for churn prediction

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kmamine/Bank_Churn_modeling_using_ANN

A little Application for predicting churning custumers for a Bank using Keras !

Language: Python - Size: 298 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

sonishivam10/Predicting-Customer-Churn-Using-Machine-Learning-Model

Language: Python - Size: 313 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

Related Keywords
churn-user-prediction 38 churn-prediction 15 machine-learning 9 churn-analysis 8 python 7 logistic-regression 7 churn 5 pandas 5 data-science 5 random-forest 5 keras 3 sklearn 3 r 2 machine-learning-algorithms 2 random-forest-classifier 2 classification-models 2 deep-learning 2 scikit-learn 2 churn-analytics 2 ann 2 visualization 2 numpy 2 neural-networks 2 python3 2 decision-tree-classifier 2 deep-neural-networks 2 jupyter-notebook 2 xgboost 2 stacking-algorithm 1 pyspark 1 credit-risk 1 fraud 1 fraud-detection 1 tsne-algorithm 1 aws-cluster 1 smoteenn 1 storytelling 1 statistical-analysis 1 rfm-analysis 1 hypothesis-testing 1 forecasting 1 exploratory-data-analysis 1 customer-segmentation 1 business-intelligence 1 business-analytics 1 telecoms 1 kaggle-dataset 1 h2oai 1 telecom-churn-prediction 1 telecom-churn-analysis 1 unsupervised-machine-learning 1 churn-statistics 1 churning 1 confusion-matrix 1 dummies 1 feature-selection 1 gridsearchcv 1 labeling 1 smote 1 data-exploration 1 feature-engineering 1 gradient-boosted-trees 1 linear-regression 1 classification 1 churn-calculation 1 sparkmllib 1 fraud-prevention 1 keras-tensorflow 1 supervised-machine-learning 1 tensorflow 1 adaboost 1 anaconda-environment 1 clusters 1 college 1 model 1 dimensionality-reduction 1 employees 1 gradient-boosting-machine 1 grouping 1 kmeans-clustering-algorithm 1 medium 1 pca-analysis 1 python-3 1 phased-lstm 1 support-vector-machines 1 knn 1 customer 1 classification-trees 1 artificial-neural-networks 1 time-windows 1 time-series 1 gradient-boosting 1 feature-extraction 1 downsampling-data 1 wellness 1 healthcare 1 galvanize-projects 1 galvanize 1 diabetes 1 classifier 1