The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) is challenging you to build an algorithm that predicts whether a subscription user will churn using a donated dataset from KKBOX.

Kaggle kkbox-chrun-prediction challenge Top5% (32/575)

KKBox churn prediction challenge on Kaggle: dealing with imbalanced data using WRF, autoencoder and xgboost.

Churn prediction on KKBOX Kaggle competition.

KKBox Churn Prediction

WSDM - KKBox's Churn Prediction Challenge / Can you predict when subscribers will churn?

WSDM - KKBox's Churn Prediction Challenge

kaggle WSDM - KKBox's Churn Prediction Challenge

Churn prediction for music streaming service

KKBox's Churn Prediction Challenge

KKBox Churn Prediction

KKBox's Churn Prediction

1061 Data Science final presentation

This project is Kaggle Project(Kaggle.com). This project is scripted in R language. Use R Studio for smoother workflow.

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WSDM - KKBox's Churn Prediction Challenge Can you predict when subscribers will churn? This is a model for thematic preparation. I used the dataset of KKBox.

For MS&E 226 (Fundamentals of Data Science) - Prediction of Daily Usage and User Churn at KKBox

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kkbox churn prediction

KKBox Churn Prediction

KKbox churn prediction challenge

Kkbox churn prediction project

KKBOX Customer Churn Prediction

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Kaggle KKBox churn prediction competition

KKBox Churn Prediction on Kaggle

KKBox's Churn Prediction Challenge (ref: https://www.kaggle.com/c/kkbox-churn-prediction-challenge)

WSDM - KKBox's Churn Prediction Challenge

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