Tourism-Experience-Analytics-Classification-Prediction-and-Recommendation-System
PublicThis project empowers tourism agencies and travel platforms to enhance user experiences by analyzing user preferences, travel patterns, and attraction features. It achieves three key objectives: predicting user satisfaction (regression), classifying visit behavior (classification), and delivering personalized attraction suggestions (recommendation)
decission-tree-regressorgradient-boostinglightgbmmachine-learningrandom-forest-classifierrandom-forest-regressionrandomizedsearchcvxgboost
Creat:2025-06-11T01:39:17
Update:2025-06-12T23:45:21
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