GitHub - riship1095/Travel-Package-Purchase-Prediction: Analyzed the purchase behavior of a Tourism Firm’s customers by analyzing factors to build a predictive model. Performed EDA & tested classification algorithms - Logistics Regression, Decision Tree, & Random Forest Regression achieving an accuracy of 85.91%.

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BA with R Project-1.R		BA with R Project-1.R
tour_package.csv		tour_package.csv

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Analyzed the purchase behavior of a Tourism Firm’s customers by analyzing factors to build a predictive model. Performed EDA & tested classification algorithms - Logistics Regression, Decision Tree, & Random Forest Regression achieving an accuracy of 85.91%.

machine-learning r data-visualization data-analysis