This analysis applies K-means clustering and Principal Component Analysis (PCA) to retail transaction data to uncover purchasing patterns. After data cleaning and transformation, clusters of frequently purchased items were identified to optimize store layout, marketing strategies, and inventory management. The analysis highlights the journey from initial clustering attempts using the Elbow Method to refining results with the Silhouette Method, ultimately finding that two clusters provided the best segmentation. Visualizations and insights derived from the clustering process offer actionable strategies for retail optimization.

Cox Proportional Hazard Model with Julia

The Nelson-Aalen analysis is a statistical method used in survival analysis to estimate the **cumulative hazard function**.

Comportamiento Pump API610 2OP+1SB

The objective of this paper is to identify Association rules regarding flights. All such intelligence can contribute towards optimized scheduling, demand forecasting, and operational efficiency, and can enhance operational performance and customer happiness.