Learn to implement flat clustering using KMeans algorithm with Scikit-learn and Python in this 25-minute unsupervised machine learning tutorial. Explore how to categorize unlabeled data into a specified number of categories, import Numpy, create scatter plots and Numpy arrays, implement KMeans, generate centroids and labels, and visualize results through graphing. Follow along with sample code and gain practical insights into unsupervised learning techniques for data categorization.