Scikit-learn k-Means

Create K-Means clustering model for unsupervised learning. This algorithm partitions the data into a predefined number of clusters (k), where each data point belongs to the cluster with the nearest mean (centroid). The performance of the K-Means model depends on the number of clusters k and the initialization of the centroids. After model creation, please fit it with the data.

# Python code will be here