This is task 2 of 3 from the Power BI PwC Switzerland Virtual Internship organized in partnership with Forage

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

ChurnRadar: Unveiling Customer Churn Patterns with Predictive Insights

Customer churn analysis

Churn Analyzer: Analyze and understand user churn rate in your PostgreSQL database effortlessly.

Develop an overview dashboard for managers utilizing a telecom industry user churn dataset to present insights on the current churn situation.

Data Mining for Telco Customer Data Using SAS Miner

Redução da taxa de evasão de clientes (Churn Rate)

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

Repositório para o #alurachallengedatascience1

Churn rate visualizations in Python

Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.

Customer churn is a common analysis conducted by businesses since the cost of client retention is lower than the cost of acquiring new clients.

Business Science Case Study Rmarkdown

Leverage HR measures to build a classification model and detect employees likely to leave the company

Telecom Churn Prediction using Machine Learning models

Customer Churn Analytics with R of a telecommunications company.

crowd analytix competition

Identifying factors that resulted in Customer Churn

Project to predict retention of students in a study program up-to and beyond semester 6 based on scores, socio-economic & demography factors (like debt, gender, religion and race), transferred credits, family fee contributions, academic background, phone and email habits.