├── Customer Segmentation.ipynb
├── Files
    └── int_online_tx.csv
└── README.md


/README.md:
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 1 | # Customer-Segmentation-using-Machine-Learning
 2 | 
 3 | The retailer has hired us to help them create customer clusters, a.k.a "customer segments" through a data-driven approach.
 4 | 
 5 | They've provided us a dataset of past purchase data at the transaction level.
 6 | Our task is to build a clustering model using that dataset.
 7 | Our clustering model should factor in both aggregate sales patterns and specific items purchased.
 8 | 
 9 | This project is based on Unsupervised Learning.
10 | 
11 | Input dataset is present in Files folder.
12 | 
13 | I jupyter Notebbook their is actual coding right from Data Analysis to clustering using K-mean.
14 | 


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