NGO Fund Raising Attrition Churn Modelling
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Updated
Aug 30, 2019 - Jupyter Notebook
NGO Fund Raising Attrition Churn Modelling
Churn analysis predictor, combining TensorFlow and Supervised Machine Learning
Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .
Build an End-to-End Data Science Project to predict customer churn for the Telecom industry and provide prescriptive countermeasures.
Building an Artificial Neural Networks (ANN) to access the churn rate of a customer (whether a customer will leave the bank or not)
Predicts weather the customer will stay with the current telecom company or leave
For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.
Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits
Classificação de clientes para redução da Churn Rate
Verwendung von Tidymodel zur Vorhersage der Kundenabwanderung. | Using Tidymodels to predict customer churn.
Uma.Challenge online-конкурс в сфере информационных технологий. Направление Data Science.
Sparkify User Churn Prediction
2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자
Churn Modelling Using ANN with Parameter tuning for best accuracy
R code to predict booking destination of new user
This repository contains a customer churn prediction model implemented using logistic regression.
A comprehensive project predicting customer churn for a telecommunications company using Logistic Regression, Decision Trees, and Random Forest models. Includes data preprocessing, feature engineering, model evaluation, and result visualization to provide actionable insights for customer retention.
A little Application for predicting churning custumers for a Bank using Keras !
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