customer-churn-analysis | Topic | Ecosyste.ms: Repos

Topic: "customer-churn-analysis"

Pradnya1208/Telecom-Customer-Churn-prediction

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 10

himanshu-03/Customer-Churn-Prediction

The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need to predict whether the customer will churn, stay or join the company based on the parameters of the dataset.

Language: Jupyter Notebook - Size: 933 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 7

Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

AdritPal08/Customer-Churn-Analysis-Report-Using-Power-BI

Customer Churn Analysis Report using powerbi

Size: 1.98 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

SharathHebbar/Marketing-Analytics

Marketing Analytics

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alfianhid/Prediction-of-Customer-Churn-Rate-at-a-Bank-Using-PySpark

Language: Jupyter Notebook - Size: 706 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

GaneshKotaSLU/Customer-Churn-Prediction

The core purpose of this study is to find the impact of Sentiment Analysis in predicting customer churn for the e-commerce industry by employing different predictive models. Furthermore, the study is also focused on observing which model is best in a more accurate prediction for determining the churn rate of customers.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

zander1268/churn-buster

This project focuses on a fictitious software company, Churn Buster, that is pitching their tool to Telecom Inc., a fictitious wireless service company. Churn Buster has built a predictive model to reduce Telecom Inc.'s customer churn

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

emreyesilyurt/churn_prediction

Customer Churn Analysis with Neural Network

Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

sharmi1206/telecom-customer-segmentation

Telecom Customer segmentation and Churn Prediction

Language: Jupyter Notebook - Size: 31 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

Abi-newbie/PWC-POWER-BI-INTERNSHIP

This shows my complete Power BI dashboards with real world data provided by PWC Switzerland. This is a Forage virtual internship where I got to use, analyze and gain valuable insights using real world data

Size: 2.49 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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. ➡️

Size: 1.54 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Dantusaikamal/Telecom-users-churn-analysis

A customer churn predictor using Watson Studio and Jupyter Notebooks

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copev313/Predicting-Customer-Churn-With-Logistic-Regression

We utilize customer account data to visualize churn rate based on various factors. Additionally, we predict customer churn using a logistic regression model provided by scikit-learn.

Language: Jupyter Notebook - Size: 259 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 2

LarryLoveIV/Customer-Churn-Analysis

Customer Churn Analysis

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Patacalida/churn-prediction

Analysis and Machine Learning group project, that focuses on customer churn prediction modeling.

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cuongdaoo/Analyze-and-predict-customer-churn-rate-with-Power-BI-and-Random-Forest

Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: 5 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

razamehar/Predicting-Bank-Customer-Churn

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

furkanonal06/santanderbank-analysis-webapp

This project is a data-driven dashboard designed to help Santander Bank analyze customer churn and implement an early warning system to identify at-risk customers. The app integrates machine learning models for churn prediction and customer segmentation, providing actionable insights for retention strategies.

Language: Python - Size: 13.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

IVY254C/Customer_Churn_Analytics

Analyzing churn in a telecom company to find out why customer churn

Size: 1.94 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

PurushothamAdluru/KPI-Driven-Insights-Dashboard-Customer-Churn-Analysis

This repository features a Power BI project designed to deliver KPI-driven insights into customer churn patterns. Leveraging a robust dataset and advanced data modeling techniques, this project uncovers trends, identifies key drivers of churn, and enables businesses to make data-driven decisions.

Size: 696 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shreyaschimote/Proj_Customer_Churn

Size: 136 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dcostachar/telco-customer-churn-dashboard

An interactive Tableau dashboard using the Telco Customer Churn dataset to analyze key drivers of customer churn and develop data-driven retention strategies for the telecommunications industry.

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PritamDeb68/customer-churn

An end-to-end machine learning project predicting bank customer churn with a Gradient Boosting Classifier. It features a complete pipeline for data processing, model training, and real-time predictions via a Flask API. SMOTE is used for handling imbalanced data, and MLflow is integrated for model tracking.

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SergioCastellanos23/Customer-Churn-Analysis

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fiza2101054/telco-customer-churn-prediction-

This repository contains the source code and resources for a machine learning web application that predicts customer churn for a telecommunications company. The project leverages historical customer data to build predictive models, enabling the identification of customers who are likely to discontinue their service.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Nishad21/Customer-Churn-Prediction

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

eylulrana/Graduation-Project-IE492

Graduation Project Repository - Bogazici University IE 492 - Spring 2024

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brenden-DS/Customer-Churn-Analysis

Language: Jupyter Notebook - Size: 620 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

akua-asiedu/Microsoft-Excel-Projects

This contains some of the data analysis projects I have worked on in excel.

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RohitMacherla3/customer-churn-prediction

This project aims to aims to predict the customer churn (likelihood of a customer leaving the company) for a telecom company using a variety of ML classification algorithms.

Language: Jupyter Notebook - Size: 7.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

jpcadena/PrDS_2024__TelcoCustomerChurn Fork of nestormontano/PrDS_2024__TelcoCustomerChurn

Repositorio del proyecto de predicción del problema Telco Customer Churn (kaggle)

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jprmaulion/customer-churn-analysis

Perform exploratory data analysis and develop machine learning models to a telecom customer churning dataset

Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

eiliaJafari/tree-based-customer-churn-rate

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

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bhanu-kanamarlapudi/customer-churn-prediction

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Atharva-Parkar/Customer-Churn-Prediction-with-Machine-Learning

Precision-driven customer churn analysis using CatBoost for accurate predictions and insightful model evaluation.

Language: Jupyter Notebook - Size: 328 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Hoops95/CustomerChurn_Bank_PowerPi

Analysis of Bank customers Data to know custmer churn.

Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jarrodtky/TelcoCustomerChurn_EDA-ML_Python

Predictive Churn Analysis for Telecom Company Using Python

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alisoltanirad/customer-churn

Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP

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rahulrajan15/HealthCare-Customer-Retention_Data_Analysis_python_project

Churn analysis is the evaluation of a company’s customer loss rate in order to reduce it. Also referred to as customer attrition rate, churn can be minimized by assessing your product and how people use it.

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fatianzh/customer-churn-prediction

Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.

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JRigh/Churn-analysis

Customer churn analysis on the Telco dataset in R

Language: R - Size: 340 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

novrizalrnd/customer_churn_bank

Performed predictive analysis of customer churn in the banking industry and identify the factors that led customers to churn. Customer churn or customer attrition is the phenomenon where customers of a business no longer purchase or interact with the business.

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kunalk3/Customer_churn_prediction_AutoML

Repo consists the customer behaviors in order to select the business areas of improvements, recommendation and revenue increments factor. As per market demand, we need to analyse out customers, so that we can optimize company revenue as per customer segmentations.

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adamyangyang/customer-churn-analysis

This project involves helping a telecoms company better understand its customer churns.

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VladOnMyOwn/customer-churn-analysis

My solution for DataCamp case study "Analyzing Customer Churn in Power BI".

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ManinderpreetPuri/Customer-Churn-Analysis

Customer retention is a critical stage for customer relationship management (CRM), especially for established businesses after their initial exponential growth. Churn management or attrition management is important as when customers leave, there arenegative impacts on revenues. Churn analytics has been widely applied to proactive customer retention where descriptive and predictive analytics are utilised to identify and predict customer propensity to churn.

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