Topic: customer-churn Goto Github
Some thing interesting about customer-churn
Some thing interesting about customer-churn
customer-churn,Creation of a dashboard in Power BI reflecting all relevant Customer Churn's Key Performance Indicators (KPIs) for Phone Now Call Centre.
User: adrijeguha
customer-churn,This Python report is designed for a business which is worried by high customer churn.
User: alessiamonfardino22
customer-churn,Prediction of whether or not a customer leaves in an specific period of time, deployed to GCP
User: alisoltanirad
customer-churn,
User: brenden-ds
customer-churn,
User: celiamuriel
Home Page: https://celiamuriel.com/customer-churn-demo/
customer-churn,Visualization and Applying linear models on determining the churn, a hackathon winning project.
User: chandanmalla
customer-churn,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.
User: copev313
Home Page: https://colab.research.google.com/drive/1xUQxTvJm7C07C9ADPz0qrY9hq57Z2wrP?usp=sharing
customer-churn,Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
User: datavisualizationexpert
customer-churn,In this BI consultancy project, I advised the CMO of Maven Communications on how to reduce customer churn, using data.
User: davidokenwa
customer-churn,Derive insights of factors contributing to customer churn in the Telecom Industry.
User: dhivyeshrk
customer-churn,Build a model using XGBoost algorithm to predict customer churn in banking dataset
User: dungltk
customer-churn,Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
User: eiliajafari
customer-churn,Using a Telecom's dataset, this project develops both an analysis to understand possible correlations and a model for predicting customer churn.
User: evertonbin
customer-churn,Analyzing customer data and building machine learning model for predicting customer churn (Logistic Regression, Random Forest and XGBoost). This project is presented as final project for dibimbing's data science bootcamp batch 22 and getting 2nd best final project award in the graduation.
User: faisalghifari17
customer-churn,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.
User: ganeshkotaslu
customer-churn,Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer
User: grknc
customer-churn,PySpark with logistic regression predicting if customers will exit a bank service.
User: guilhermedom
customer-churn,This project predicts customer churn using machine learning. It involves data cleaning, EDA, feature engineering, and model evaluation. AdaBoostClassifier with SMOTE was optimized using GridSearchCV and validated with ROC analysis.
User: haripprasath-m
customer-churn,Telecom_customer_churn
User: hussam1
customer-churn,Performs customer churn prediction, built using logistic regression
User: ishooo
customer-churn,We going to build a basic model for predicting customer churn using Telco Customer Churn dataset. We're using some classification algorithm to model customers who have left, using Python tools such as pandas for data manipulation and matplotlib for visualizations.
User: itsmarmot
Home Page: https://colab.research.google.com/drive/1wUi9M9fBU95MJQ6RqkpeS163HdwNqr1i
customer-churn,End-to-End Machine Learning application to predict the customer churn. machine learning is applied to foresee if customers are likely to leave a service. 🤖💼 This involves analyzing customer data, training a model, and predicting churn probabilities. 🚀📊
User: izam-mohammed
customer-churn,The repository presented steps for building a model that predicted whether a customer would switch telecommunication service providers.
User: janasatvika
customer-churn,The project predicts bank customer churn using an Artificial Neural Network (ANN). It includes data preprocessing, model training with TensorFlow and Keras, and deployment via a Streamlit app. The model's performance is visualized using TensorBoard, showcasing effective machine learning techniques for customer retention.
User: jayita11
customer-churn,Utilizing tools such as Spark, Python (PySpark), SQL, and Databricks, performed logistic regression on customers to predict those at a higher risk of churning, then applied the model to an unseen "new customers" data set.
User: leondrajames
customer-churn,Prevendo Customer Churn em Operadoras de Telecom
User: marinafajardo
customer-churn,This project analyzes and predicts customer churn of a music streaming service using Spark on a large dataset.
User: mxagar
customer-churn,This project leverages ML algorithms to predict and tackle customer churn effectively.
User: ndungek
customer-churn,Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
User: pegah-ardehkhani
customer-churn,Customer Churn
User: rifanrs
customer-churn,Churn prediction has become a very important part of Syriatel's company strategy. This project uses machine learning algorithms to build a model that can accurately predicts customers who are likely to churn.
User: scholarchep
customer-churn,Telecom Customer segmentation and Churn Prediction
User: sharmi1206
customer-churn,Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
User: sondosaabed
customer-churn,Analyze your customer database with ease
User: souvikg544
customer-churn,predict the churning rate of tele-comunication customer using svm model on Python platform
User: strangedata-v
customer-churn,Customer churn prediction with gradient boosted trees
User: trungkhoale
customer-churn,My solution for DataCamp case study "Analyzing Customer Churn in Power BI".
User: vladonmyown
customer-churn,Customer Churn Prediction in the Banking sector
User: ysmin-g
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