通过游戏埋点数据挖掘进行游戏用户流失分析

Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.

Machine-Learning-1

DissertationCA2

This repository holding a case study on analysis churn in Telecom and building a machine learning model to classify the customer who is likely to churn, which includes EDA, Prediction Model Building, Presentation PDF.

Importance of churn Analysis and some concept upon it

Tree methods for customer churn prediction. Creating a model to predict whether or not a customer will Churn .

Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits

2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

R code to predict booking destination of new user

Predict users churn for a music box app.

Different methods for churn prediction

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

Predicting Teleco churn dataset from Kaggle. In this repo, I take 3 solution notebooks and combine the analysis into one with some updates.

NGO Fund Raising Attrition Churn Modelling

Build an End-to-End Data Science Project to predict customer churn for the Telecom industry and provide prescriptive countermeasures.

Churn analysis predictor, combining TensorFlow and Supervised Machine Learning

Building an Artificial Neural Networks (ANN) to access the churn rate of a customer (whether a customer will leave the bank or not)