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End-to-end ETL pipeline and churn prediction system using Logistic Regression and Decision Tree to identify potential customer attrition and key churn factors.
This project applies a Decision Tree Regression machine learning model using R to predict housing prices in Melbourne based on several predictors such as the number of rooms, land size, building ar…
A collaborative Looker Studio project between students, lecturers, and the Sumenep Government — visualizing poverty analysis through cross-agency data integration.
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