With BigQuery ML, you can build machine learning models without leaving the data warehouse environment and training it on massive datasets. We are going to demonstrate how to build, train, eval and predict, your own scalable machine learning models using standard SQL language in Google BigQuery. We will see how can we use CREATE MODEL sql syntax to build different models such as: -Linear regression -Multiclass logistic regression for classification -K-means clustering -Import TensorFlow models for prediction in BigQuery We will see how we can apply these models on tabular data in retail and marketing use cases. Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor.