+359 888 400 290
How to build your data science or machine learning model, when you store data into relational database for your e-commerce site.

How to build your data science or machine learning model, when you store data into relational database for your e-commerce site.

Scope: The scope of this article is to share how to dive deeper into your e-comerce client data and start making data science relatively easy and cheap, when you need to deal with data from your database and you want to work with Python relying on Jupyter Notebook, where time of execution is important. Especially focusing on the relational database. We all store data into files or into databases and as Data Scientists we need to have fast access to it and to be able to train our models. Our task Now we have a task to build a model combining different sources from emails, click data which we capture, mobile apps and sales, see the diagram above. We have several different sources all stored into Postgres Database Tables with various foreign keys between each table. In order to process the data first we need to access it from the database, structure it and then start playing with it....