Predicting Holiday Travel Fares with Data Science

This webinar explores how data science methodologies can be applied to forecast holiday travel fares, offering a strategic perspective on price prediction in the travel industry. Learn about machine learning models that analyze historical pricing data, demand trends, and external variables to accurately predict airfare fluctuations. Discover core data science techniques specifically used for fare prediction, examine real-world use cases from the travel industry, and gain actionable strategies for identifying optimal pricing windows. The session provides valuable insights for those interested in the practical applications of analytics in business decision-making within the travel sector.