GitHub - jermynyeo/Predict-Automobile-Insurance-Prices: All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.

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All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.

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All-in-1 notebook which applies different clustering (K-means, hierarchical, fuzzy, optics) and classification (AdaBoost, RandomForest, XGBoost, Custom) techniques for the best model.

random-forest hierarchical-clustering optics-clustering k-means-clustering fuzzy-clustering xg-boost silhouette-score adaboost-classifier

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