In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.
Overview
Syllabus
- GSP852
- Overview
- Set up your environment
- Task 1. Explore the NYC Citi Bike Trips dataset
- Task 2. Cleaned training data
- Task 3. Training a model
- Task 4. Evaluate the time series model
- Task 5. Make predictions using the model
- Task 6. Other datasets to explore
- Congratulations!
Tags
Related Courses
-
Building Demand Forecasting with BigQuery ML
-
Predict Taxi Fare with a BigQuery ML Forecasting Model
-
Create ML Models with BigQuery ML
-
BigQuery for Machine Learning
-
Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
-
Create ML Models with BigQuery ML: Challenge Lab
