Customer Churn Analysis using R & RStudio

Churn Modelling - unusual rate at which customers leaving the company, we need to figure out why? we need to understand the problem? We actually need to create a demographic segmentation model to tell the bank/company which customers are at high risk of leaving.

Built a logistic regression based predictive model to identify customers at high risk of churn and identify the main indicators of churn.

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.

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 …

Employee Churn Analysis, Feature Importance and Prediction Using Ensembling Model

Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.

Churn prediction based on bank customers

Machine-Learning-1

Simple Backpropagation using churn modelling dataset

Customer churn prediction for telecom dataset

This is a complete Project that revolves around churn modeling and it contains every aspect from data cleaning down to model deployment. The data of a bank was used in this implementation. An Artificial Neural Network was trained and used to predict the probability that a given customer would leave the bank(With 87% Test accuracy) and for deploy…

Repositório para o #alurachallengedatascience1

Repositório destinado a documentar o desafio de Data Science da Alura #alurachallengedatascience1

Challenge de Data Science da Alura - Alura-Voz

Projeto realizado durante o primeiro challenge de data science da Alura.

Redução da taxa de evasão de clientes (Churn Rate)