Skip to content

Latest commit

 

History

History
20 lines (11 loc) · 511 Bytes

README.md

File metadata and controls

20 lines (11 loc) · 511 Bytes

Project Name

This Project is a Segementaion of mall customers into different groups based upon their 'age' and 'income' using K Means Clustering Algorithm.

Methods Used

  • Feature Engineering
  • Machine Learning
  • Unsupervised Learning
  • Data Visualization
  • Plotly(Interactive and 3D graphs)

Technologies

  • Python
Note:- I have used plotly for ploting which cannot be renderd on github . So i have used images to show them . To see the complete project download and run the ipynb file.