To evaluate the quality of water for a mineral water bottling plant we used Machine Learning techniques like clustering and factor analysis. The combination of clustering and factor analysis enabled the bottling plant to gain a comprehensive understanding of water quality across various dimensions. Furthermore, the application of Unsupervised Learning techniques ensured that the evaluation process is adaptable and data-driven.