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THIS PROJECT SEGMENTS THE COFFEES OF STARBUCKS BY 5 CATEGORIES BY USING ML.

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Introduction to Business Problem :

In this project we will try to give a "NUTRITION RATING" for all the drinks available at 'Starbucks',i call it as "THE STAR RANK"

Background :

Taking nutritious food is vey important to our health,it also helps us to be fit.There are many number of beniftis by taking a 'coffee' for instance,Two cups of coffee can cut post-workout muscle pain by up to 48%(From the Journal of Pain, March 2007).

Moreover every time we go out for a meeting some one,we might probably endup at a coffee shope like Starbucks(mostly in-case of dates).Since Starbucks is the most popular in it's kind we focus on the coffees by it.

So, we will try to determine the nutrition rank of the coffees.

Target audiences :

coustomers : Esspecialy those who are in a diet.

cooks : Gives a better scope of evaluating their creation.

stake holders : This allows them to set prices according to the nutrition rank.

Clustering the coffees:

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Result :

Due high amonut of calories,carbohidrates & iron the 2 labeled cluster/coffees are "The most nutrisious" hence, they'll be awarded with 5/5 Star Rank rating.

Then comes 4 labeled cluster/coffees which have heighest amount of protiens & calcium, hence they are awarded with 4/5 Star Rank rating.

The 3/5 Star Rank rating can be give to The 3 labeled cluster/coffees which are "rich in calories & sodium ".

The 2/5 Star Rank rating can be give to The 1 labeled cluster/coffees which have less amount of caffine.

The 1/5 Star Rank rating can be give to The 5 labeled cluster/coffees which contains least amount of calories & heighest number of caffine.

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my 1st ML project

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