Background
- Data comes from Kaggle
- To provide a delightful shopping experience by using customer orders over time to predict which previously
- purchased products will be in a user’s next order
Objectives
- Build automated ETL pipeline to process big data
(step function.json , trigger glue job.py , glue_job.py, lambda function for precess data.py) - Build model to do the prediction
(data modelling.R)
Find detail report in project_summary.pdf