Topic: churn-analysis Goto Github
Some thing interesting about churn-analysis
Some thing interesting about churn-analysis
churn-analysis,A churn model is a mathematical representation of how churn impacts your business. Churn calculations are built on existing data (the number of customers who left your service during a given time period). A predictive churn model extrapolates on this data to show future potential churn rates.
User: aadimangla
churn-analysis,Analyze and predict bank customer churn using various classification algorithms
User: abhinav-neil
churn-analysis,This Git repo showcases my analysis of Sparkify dataset with PySpark on Apache Spark cluster mode and JupyterLab on Docker. The goal was to identify at-risk customers and develop retention strategies. The analysis tested multiple machine learning models and uncovered insights into customer behavior and churn patterns.
User: alessiococchieri
churn-analysis,PhoneNow Customer Retention Analysis - PwC Switzerland virtual case experience
User: amrelauoty
churn-analysis,Customer Churn Prediction Model using artificial neural network.
User: anukamythri
churn-analysis,IST434 Big data analytics end of term paper
User: ashnumpy
churn-analysis,Churn rate analysis with artificial neural network.
User: ashnumpy
churn-analysis, Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
User: babaniyi
churn-analysis,
User: breathingcyborg
churn-analysis,Customer Churn Analysis for a website
User: d0r1h
Home Page: https://churn01.herokuapp.com/
churn-analysis,By undertaking this project, the company aims to gain valuable insights into customer behavior, enhance service quality, and implement targeted strategies for customer retention and satisfaction. The findings will contribute to informed decision-making and the development of customer-centric business strategies.
User: datanomadx
churn-analysis,Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
User: datavisualizationexpert
churn-analysis,Challenge de Data Science da Alura - Alura-Voz
User: duartejr
churn-analysis,Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
User: eiliajafari
churn-analysis,Churn Analysis Hands On Project
User: excovatedmind
churn-analysis,The credit churn data analysis aims to investigate the factors that contribute to customer attrition in a credit card company. The dataset used in this analysis contains information on customer demographics, credit card usage, and other relevant variables.
User: facf00
churn-analysis,This repository aims to find out whether or not customers who churn from telecommunication companies. And looking for modeling solutions to get predictions of future churn.
User: fikahusnaamalinamubarok
churn-analysis,✨ The current project is a basic approach of data analysis and machine learning modeling to get business insights and propose strategies of customer segmentation and churn prediction to mitigate the high churn rate.
User: gabrielmotablima
churn-analysis,A project to predict if customer churns or not using ML algorithms
User: harini-shre
churn-analysis,Customer Churn Analysis in Telecom Industry
User: harshit-sinha-49
churn-analysis,Driver churn analysis based on Uber dataset using big data tools such as Hive, PySpark, Pig, Hbase, and MongoDB.
User: hosseinglm
churn-analysis,Análise Exploratória e Modelagem do dataset de uma empresa de telecomunicações, para prever se os clientes irão desistir ou continuar contratando os serviços da empresa. Um típico problema de classificação de Churn. Foi feita a manipulação, limpeza e visualização dos dados, e aplicado Regressão logística, Random Forest e XGBTree para a etapa de modeloagem.
User: hugomuniz94
churn-analysis,Challenge de ciência de dados da Alura, utilizando dados de uma operadora fictícia de serviços de voz e Internet.
User: jeanpadrao
churn-analysis,Churn Modelling using XGBoost
User: jimschacko
churn-analysis,Churn rate visualizations in Python
User: jlgarciatucci
churn-analysis,Command line tool to generate actionable metrics for priorizing refactors on your rust project
User: kaendor
churn-analysis,This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
User: klaudia-nazarko
Home Page: https://towardsdatascience.com/churn-analysis-information-value-and-weight-of-evidence-6a35db8b9ec5
churn-analysis,Challenge de Data Science desenvolvido pela Alura, para montar um conjunto de análises e modelos de machine learning supervisionado para auxiliar o time de vendas da empresa Alura Voz a fidelizar clientes.
User: lacerdash
churn-analysis,Training Quest Business Case Wild Code School (2022)
User: laetitia-deken
churn-analysis,Churn rate calculation with SQL of a fictional dataset, analysis and presentation. The PDF slide presentation contains the code, explanations and conclusions. The .sqlite file contains the code for the different objectives.
User: marbel89
churn-analysis,
User: miraytopal
churn-analysis,~ UNI/ churn analysis for Data Mining proj module 2
User: niccolosalvini
churn-analysis,How can we anticipate which customers will take their business elsewhere? Finding key predictors of customer churn via machine learning.
User: npagrawal
churn-analysis,Análise e predição do Churn de clientes de uma empresa de Telecomunicações.
User: olucaslopes
churn-analysis,Code for a Shiny app calculatiing cost/revenue for churn prevention
User: peerchristensen
churn-analysis,This project is my personal project about Customer Churn using dataset from Telecommunication Company provided by Kaggle. I created Data Visualisation with Python to get some insight from the dataset that can used for arrange their next strategic planning.
User: putriarrum
churn-analysis,This repository presents a machine learning classification project focused on predicting customer churn in the telecommunications industry.
User: rasmodev
churn-analysis,Importance of churn Analysis and some concept upon it
User: raunak274
churn-analysis,survival and churn analysis in biz domain
User: reign2121
churn-analysis,A project demonstrating how to predict customer churn based on product usage behaviours.
User: richhuwtaylor
churn-analysis,Analysing bank credit card data and predict which group of customers are more likely to get churned so that we can target them to provide better services and turn customers' decisions in the opposite direction using MySQL and Tableau
User: rose-njeru
churn-analysis,Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)
User: santanukumar666
churn-analysis,Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.
User: tarikkaankoc
Home Page: https://www.monoapp.net/
churn-analysis,Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
User: tatevkaren
churn-analysis,Customer Churn Prediction with data from Kaggle
User: tayjen
churn-analysis,The analysis delves into the factors that have the biggest impact on employee churn and need to be addressed immediately. It then suggests several changes the XYZ company should make in the workplace to retain more employees.
User: thanhhuyentran32
churn-analysis,This repository is created to share the steps that were taken in making my Graduation Thesis for my Applied Statistics Diploma, the project is about creating a machine learning model to predict the churn in a telecom company, this repository includes: The dataset used in the project, the relevant code, and the theisis in pdf.
User: yacine-ammi
churn-analysis,visualisation of churn data of a bank
User: yakhlebopros
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