  In the evolving world, we require more additionally the young era to flourish
and evolve into developed land. Most of the population all around the world are
unaware of the complications involved in the routine they follow while they are
pregnant and how hospital facilities affect maternal health. Maternal Mortality
is the death of a pregnant woman due to intricacies correlated to pregnancy,
underlying circumstances exacerbated by the pregnancy or management of these
situations. It is crucial to consider the Maternal Mortality Rate (MMR) in
diverse locations and determine which human routines and hospital facilities
diminish the Maternal Mortality Rate (MMR). This research aims to examine and
discover the countries which are keeping more lavish threats of MMR and
countries alike in MMR encountered. Data is examined and collected for various
countries, data consists of the earlier years' observation. From the
perspective of Machine Learning, Unsupervised Machine Learning is implemented
to perform Cluster Analysis. Therefore the pairs of countries with similar MMR
as well as the extreme opposite pair concerning the MMR are found.
