churn-analysis
There are 171 repositories under churn-analysis topic.
klaudia-nazarko/iv-and-woe-python
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).
TatevKaren/artificial-neural-network-business_case_study
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)
DataVisualizationExpert/Customer-Churn-Analysis-using-Power-BI
Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
TarikKaanKoc/MonoChurnAnalyzer
Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.
Kaendor/quality-time
Command line tool to generate actionable metrics for priorizing refactors on your rust project
yakhlebopros/ChurnDataVisualisation
visualisation of churn data of a bank
d0r1h/Churn-Analysis
Customer Churn Analysis for a website
richhuwtaylor/fighting-churn
A project demonstrating how to predict customer churn based on product usage behaviours.
aadimangla/Churn-Modelling-for-a-Bank
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.
AshNumpy/DL-Churn-Analysis
Churn rate analysis with artificial neural network.
AtashfarazNavid/MachineLearing-ChurnModeling
Machine-Learning-1
santanukumar666/Data-analysis-projects
Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)
aimee0317/gym_customer_churn_analysis
This project is to conduct churn analysis of a fictitious gym called Model Fitness.
amrelauoty/Customer-Retention-PhoneNow
PhoneNow Customer Retention Analysis - PwC Switzerland virtual case experience
AshNumpy/Big-Data-Analysis-Term-Paper
IST434 Big data analytics end of term paper
babaniyi/BCG
Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
duartejr/challenge_data_science_alura_voz
Challenge de Data Science da Alura - Alura-Voz
jimschacko/Churn-Modelling-using-XGBoost
Churn Modelling using XGBoost
Lacerdash/Alura_Challenge_Data_Science
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.
olucaslopes/customer-churn-analysis
Análise e predição do Churn de clientes de uma empresa de Telecomunicações.
raunak274/Churn_Analysis
Importance of churn Analysis and some concept upon it
RFerrari7/Marketing-Analytics
This project aims to conduct an analysis of costumers behavior and perception of the brand, by implementing different marketing analytics techniques and methods: RFM (recency, frequency, monetary) model, churn classification, MBA (market basket analysis) and sentiment analysis.
TayJen/Customer-Churn-Prediction
Customer Churn Prediction with data from Kaggle
yacine-ammi/Mobile-CCP
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.
16kushaal/Airline-Passenger-Evaluation
This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a primary emphasis on understanding and predicting customer satisfaction and churn risk.
Data-Portofolio/churn-customer-analysis
An analysis of customer churn at Databel, a telecommunications company in the U.S. By leveraging this analysis, the goal is to develop retention strategies to help reduce the company's churn rate.
eiliaJafari/tree-based-customer-churn-rate
Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
Excovatedmind/Oemoem-DSAI-Hands-On
Churn Analysis Hands On Project
Harshit-Sinha-49/Customer-Churn-Analysis
Customer Churn Analysis in Telecom Industry
M3GHAN/Customer-Churn-Prediction-RFM-Logistic-Regression
This project implements a customer churn prediction model using Recency, Frequency, and Monetary (RFM) analysis. It classifies customers into "Churned" or "Retained" categories using a logistic regression model based on customer behavior. The model helps businesses identify at-risk customers and design targeted retention strategies.
mayankyadav23/Customer-Churn-Analysis-Telco
🔍 Customer Churn Analysis: Delved into the data to reveal key insights and trends! 📊 Through Exploratory Data Analysis (EDA), I unearthed patterns that drive customer decisions, helping shape strategies to boost retention by over 25%! 🚀 Let's turn data into action!
paulo-santos-ds/churn
Este projeto tem como objetivo desenvolver um modelo capaz de prever se um cliente está prestes a deixar um banco fictício. Para isso, são analisados dados sobre o comportamento passado dos clientes e rescisões de contratos com o banco
PrakharGupta07/Excitel_Customer_Acquisition
The analysis identifies key bottlenecks, variability in processes, and provides actionable recommendations to optimize operations.
Putriarrum/Analysis-of-the-Factors-Causing-Customer-Churn
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.
SunnyBibyan/Customer_Churn_Prediction
This project aims to build a predictive model that helps identify customers at risk of churning (leaving the service) in a telecommunications company. By leveraging machine learning techniques, we can help businesses take preemptive actions to retain valuable customers and reduce churn rates.
thanhhuyentran32/HR-Analytics-Case-Study
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.