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#Diamond Price Prediction

Introduction About the Data : The dataset The goal is to predict price of given diamond (Regression Analysis).

There are 10 independent variables (including id):

id : unique identifier of each diamond carat : Carat (ct.) refers to the unique unit of weight measurement used exclusively to weigh gemstones and diamonds. cut : Quality of Diamond Cut color : Color of Diamond clarity : Diamond clarity is a measure of the purity and rarity of the stone, graded by the visibility of these characteristics under 10-power magnification. depth : The depth of diamond is its height (in millimeters) measured from the culet (bottom tip) to the table (flat, top surface) table : A diamonds table is the facet which can be seen when the stone is viewed face up. x : Diamond X dimension y : Diamond Y dimension x : Diamond Z dimension Target variable:

price: Price of the given Diamond. Dataset Source Link : https://www.kaggle.com/competitions/playground-series-s3e8/data?select=train.csv