Data Mining Explanation: Data mining is the process of discovering patterns and knowledge from large amounts of data. It involves various methods, including statistical analysis, machine learning, and database systems. K-means clustering is an unsupervised learning algorithm used to group data into clusters based on their characteristics.
Prepare data by cleaning, scaling, and selecting relevant features for effective K-means clustering