This project performs a subscription cohort analysis and predictive modeling using Python. It includes data preprocessing, feature engineering, and the training of three models: Logistic Regression, K-Nearest Neighbors, and Random Forest. The goal is to predict if a subscription was paid and to compare model performance.
☆42Sep 23, 2025Updated last year
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