How to Build Predictive ML Model Using SQL

Beginner’s Guide to Big Query ML: Predictive Model

Nowadays, everyone wants to master Machine Learning. And everyone believes that in order to develop an ML model, you must first understand Python and then different tools like, use ETL/ELT technologies. But what if I told you they were wrong! Big Query and SQL work just fine.

Let me clarify what we generally do. We use many tools to build, train, and deploy our machine learning models, correct? It takes a long time and requires us to be familiar with all of the tools.

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These days, I only need to develop a simple ML model. I just use Big Query in the Cloud. Why? Because there, I can just load my dataset into the Big Query Environment and perform everything in one place, as well as use SQL to carry out anything from building to training to deploying. Furthermore, it is highly scalable, even with large datasets.

If you find this amazing, I will show you how to create an ML model in Big Query solely using SQL.

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