MY FINAL SCORE - 90.52 (WINNER'S SCORE - 91.18)

MY FINAL RANK - 81 OUT OF 5060 (TOP 1.5%)

LEADERBOARD - https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-pet-adoption/leaderboard/pet-adoption-9-5838c75b/page/2/

https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-pet-adoption/machine-learning/pet-adoption-9-5838c75b/

Problem Statement

A leading pet adoption agency is planning to create a virtual tour experience for their customers showcasing all animals that are available in their shelter. To enable this tour experience, you are required to build a Machine Learning model that determine the type of breed of the animal based on its physical attributes and other factors.

Column Description

Column Name	Description
Pet Id	Pet UniqueID
issue_Date	Date on which the pet was issued to the shelter
lasting_date	Date when pet arrived at shelter
condition	Condition of the pet
color_type	Color of the pet
lenght(m)	length of the pet(in meter)
height(cm)	Height of the pet (in centimete)
X1,X2	Anonymous Columns
breed_category	Breed category of the pet(target variable)
pet_category	Category of the pet(target variable)