GitHub - Anubhavkumar31/customer-segmenation-using-k-means-clustering: its a machine learning model which segments the customers using k-means clustering, the optimal number of clusters is find through WCSS.

TO RUN THIS FOLLOW THE GIVEN STEPS:-

step-1 : - download the repository on your local platform

step-2 : - you will need to install the dependencies if not already installed, this project uses panda, numpy, sklearn dependencies etc.

step-3 : - make sure to download dataset too, also in python code where the csv file is loaded , make sure the path of dataset is correct.

step-3 : - open the terminal and run the python code

NOTE : for better visulisation, i would suggest you to import this on kaggle or google collab. it will give you better understanding.

dataset_source : - THIS DATASET HAS BEEN TAKEN FROM KAGGLE.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
dataset		dataset
model		model
README.md		README.md

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