Dimensionality Reduction with PCA: Insights from Home Loan Transactions

Principal Component Analysis (PCA) to high-dimensional loan transaction data. By reducing the dimensionality of the dataset, patterns were identified to help a financial institution mitigate risks such as loan defaults or early repayments. Key steps include data preprocessing, PCA implementation, and interpretation of principal components to uncover significant insights.