In this project, I filtered weighted data with more than 6,000,000 rows and 300 variables. Then I employed unsupervised ML methods (hierarchical clustering, k-means) to cluster observations. Finally, I deployed multiple logistic regression to enhance accuracy and efficiency.
You can see the output report by downloading the html file.