This repository documents an unsupervised machine learning algorithm developed for producing association rules using the APRIORI algorithm for affinity analysis. The project involved processing and analyzing an extensive dataset of nearly 500,000 records, resulting in valuable insights that contributed to data-driven decision-making and improved business strategies. The analysis had a specific focus on datasets from France and Australia, allowing for a deeper understanding of market dynamics and customer behaviors in these regions.
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APRIORI-Based Affinity Analysis: Prepared an unsupervised machine learning algorithm to generate association rules using the APRIORI algorithm.
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Extensive Dataset: Processed and analyzed a dataset with nearly 500,000 records, uncovering valuable insights for data-driven decision-making and enhancing business strategies.
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Cross-Country Analysis: Conducted data analysis with a specific focus on datasets from France and Australia. This cross-country analysis provided a deeper understanding of market dynamics and customer behaviors in these regions.