GitHub

Applying Logistic Regression and SMOTE for Analyzing and Predicting Customer Churn in Advertising with Imbalanced Data

This project explores the issue of customer churn in the advertising industry, particularly focusing on the challenges of dealing with imbalanced data. The analysis includes Logistic Regression as the ...
GitHub

Credit Card Fraud Detection using Python, featuring data cleaning, feature engineering, SMOTE balancing, and ML model evaluation.

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