Projekt na uczenie maszynowe nienadzorowane z redukcji wymiarów

Wykorzystanie redukcji wymiarów do analizy biznesowej kolorystki asortymentu

This document presents a reproducible code base that loads federal contract award data from GitHub, subsets key variables, and prepares a cleaned dataset for exploratory analysis of cybersecurity and preparedness spending.

This study analyzes 19559 transactions from Market Basket Analysis dataset to identify key purchasing patterns using Apriori and ECLAT algorithms. A Pareto analysis revealed that 20% of products generate 80% of total revenue. Strong associations were observed with purchase confidence often exceeding 90%. Targeted findings also identified a significant cross-selling opportunity between wooden picture frames and the Regency porcelain series. These insights provide actionable strategies for optimized product bundling and placement to enhance overall profitability.

Wykorzystanie koszyka cyklu życia klienta do analiz asocjacji w przypadku rzadkich danych transakcyjnych