A simple Logistic Regression model for diabetes prediction using pandas and scikit-learn.
End-to-end machine learning project to predict airline customer satisfaction using XGBoost, Random Forest and Neural Networks, combining EDA, PCA and SHAP explainability to identify the service, customer and travel variables that most strongly influence satisfaction and support data-driven service improvement strategies.
Add a description, image, and links to the logistic-regression- topic page so that developers can more easily learn about it.
To associate your repository with the logistic-regression- topic, visit your repo's landing page and select "manage topics."