- Model Training
Explore how to train a predictive birth weight model using the Natality dataset and scikit-learn within a Jupyter notebook. Understand data sampling, model fitting with LinearRegression, and serialization with pickle. Learn to move your trained model to cloud storage to integrate into scalable, distributed model pipelines using Cloud Dataflow.
We'll cover the following...
We'll cover the following...
Example
The modeling task that we’ll be performing is predicting the birth weight of a child given a number of factors, using the Natality public dataset. To build a model with sklearn, we can ...