K-Means-Clustering-with-Python-part-2

Using KMeans Clustering to analyse the College Data and form clusters from it based on Feature Private meaning private and public colleges

we actually have the labels for this data set, but we will NOT use them for the KMeans clustering algorithm, since that is an unsupervised learning algorithm.

When using the Kmeans algorithm under normal circumstances, it is because you don't have labels. In this case we will use the labels to try to get an idea of how well the algorithm performed, but you won't usually do this for Kmeans, so the classification report and confusion matrix at the end of this project, don't truly make sense in a real world setting!

precision recall f1-score support

      0       0.21      0.65      0.31       212
      1       0.31      0.06      0.10       565

avg / total 0.29 0.22 0.16 777

Reference Material:https://www.udemy.com/share/101WaUB0scc1dQR34=/