/Starbucks-Promotion

Primary LanguageJupyter Notebook

Starbucks Promotion

Motivation

Identify customers for sending out the promotional offers such that the revenue of Starbucks increases.

Libraries Used

  1. Pandas
  2. Numpy
  3. Scipy
  4. Sklearn
  5. Matpltolib
  6. Seaborn
  7. XGBoost

File Descriptions

  1. Starbucks.ipynb: Basic exploratory analysis, statistical analysis, and data modelling.

  2. training.csv: Training data consists of user features, promotion, and purchase.

  3. Test.csv: Test data for model testing.

  4. test_results.py: Contains functions to test the model performance.

Run locally

Just run directly from the jupyter notebook.

Licenses, Acknowledgements and Copyright

The software can be used free of charge and any improvements are appreciated. Credit must be given to Udacity for providing this exercise as a part of their Data Science Nanodegree programme.