It explores multiple classification algorithms, including Random Forest, SVM, Naive Bayes, KNN, and XGBoost. The project incorporates data preprocessing, hyperparameter tuning, cross-validation to ...
A cutting-edge food delivery time prediction model leveraging Random Forest Regressor, Streamlit, OpenCage API, GeoPy, and advanced feature engineering techniques to optimize delivery operations and ...
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