Skip to content

Latest commit

 

History

History
21 lines (14 loc) · 533 Bytes

README.md

File metadata and controls

21 lines (14 loc) · 533 Bytes

Customer Personality Analysis

Skills/Tools Used:

For Part1 -

  1. R Programming Language
  2. Unsupervised modelling

For Part2 -

  1. Python Programming Language
  2. Supervised/Prediction modelling

Objective

Create customer segments, identify demographic and behavioral charactersitics, and develop targeted campaigns based on prediciton models

Output

  1. Defined and characterized customer segments
  2. Prediction and customers' responsiveness to campaign offers
  3. Recommendation on campaign strategy