Data Analytics on Price Prediction of Travelling Package using Regression Models

摘要: Travel agencies set new prices on travel packages based their experiences by analyzing the trend holiday and festive season. However, they find it hard to predict exact with minimum be offered for upcoming years. Prices keep changing due other reasons rather than This research paper applied data analytics which is divided into two parts, 1) descriptive facilitate have better insights of 2) predictive price forecasting. Visualization a part where dispersion correlation are produced gain insight data. Meanwhile, in part, Linear Regression Multiple models packages. Different parameter settings optimize score R-square. Hence, final result 0.9346 R-square achieved applying all variables taken consideration.