A sample churn prevention solution for an fintech app
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Updated
May 11, 2020 - HTML
A sample churn prevention solution for an fintech app
business analytics course homework assignments
Churn Prediction using PySpark
📊 This project focuses on customer churn analysis and prediction in the telecommunications sector. Using data analysis, modeling, and predictive techniques, it aims to understand and mitigate customer loss by developing strategies.
Churn prediction for sparkify music streaming service
Predict Customer Churn
The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.
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.
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 …
This repository contains my approach for Churn Prediction for AV job-a-thon march 2022
Capstone Project of Udacity Nanodegree
Performed a churn analysis on a Kaggle competition - Customer Churn Prediction 2020 to predict whether a customer will change telco provider
The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.
A webapp to predict Churn against customers and employees, along with feature for data visualization
Sparkify project for predicting customer loyality.
Use spark to analyze user churn behaviour data from music app company as they move from paid and free tier services or cancel their subscription all together. The dataset contains two months of user activity logs.
A company X required a churn model to mitigate the monetary losses from discounts provided to customers.
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