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This project is an attempt to create a Churn Customer Classification models, resulting in balanced Logistic Regression model with 80% recall and 73% precision value, also Decision Tree with high recall value (91%). Web application included.

Jupyter Notebook 99.77% Python 0.23%
churn-prediction classification data-science machine-learning python

churn-customer-classification-predictive-analysis's Introduction

Hello there, I am Naufal ๐Ÿ‘‹

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  • ๐ŸŒฑ Iโ€™m currently learning data-related stuffs
  • ๐Ÿ”ญ Iโ€™m currently working on improving myself and make a portofolio
  • ๐Ÿ“ซ How to reach me: [email protected]
  • โšก Fun fact: (Disclaimer) not my catto

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