This Jupyter Notebook demonstrates an end-to-end data science workflow that uses K-Means and Hierarchical Clustering machine learning models built using Python, Pandas, Numpy, SciKit Learn, SciPy, Matplotlib, and Seaborn. The objective of the workflow is to…

This is a Jupyter Notebook for experimenting with different supervised learning estimators offered by SciKit Learn to determine which one performs better for the given data set with hyperparameter tuning. The following Python support classes are used in this…