add-sklearn-kmeans-hyperparameter-checker

[PeterHamfelt]

Hyperparameters directly control model structure, function, and performance. Hyperparameter tuning allows data scientists to tweak model performance for optimal results. This process is an essential part of machine learning, and choosing appropriate hyperparameter values is crucial for success.

K-Means clustering

References
https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
https://aws.amazon.com/what-is/hyperparameter-tuning/#:~:text=Hyperparameters%20directly%20control%20model%20structure,values%20is%20crucial%20for%20success.