By Pham Duy Anh Vu
This project presents a comprehensive analysis of Amazon's customer behavior using advanced data analytics techniques and machine learning algorithms. The dataset, sourced from Kaggle, encompasses a variety of customer interactions, enabling the identification of key purchasing patterns, customer segmentation, and insights critical for optimizing marketing strategies and enhancing user experience.
The analysis was conducted using Python through Jupyter Notebook, employing machine learning algorithms such as association rule mining, decision tree classification, linear regression, and K-means clustering for analysis while utilizing various data visualization sources for graphs.
You can access the data here
The full code and visualizations is documented in the Jupyter Notebook file in this branch
A detailed analysis of the findings and visualizations is documented in the Word document in this branch