Data Analythics from a Data Frame Called Space-Ship Titanic

This presentation explores the Space-Ship Titanic project through the lens of data analytics, detailing data exploration, demographic analysis, and expenditure patterns. We delve into predictive modeling using machine learning workflows and Python libraries, discussing model selection and performance. Key insights, including trends and real-world implications, will be highlighted. Finally, future directions and potential applications are outlined, emphasizing the transformative impact of...