Implementing Demand Forecasting on GCP

Implementing Demand Forecasting on GCP

Introduction

In this hack, you’ll implement a state of the art deep learning forecasting model in just a few hours thanks to Vertex AI AutoML. We’ll provide you with a sample notebook and you’ll work on extending that notebook to train a model, run inference and see results.

Learning Objectives

This hack will help you explore:

• Creating Vertex AI Dataset resource
• AutoML Training for demand forecasting
• Obtain evaluation metrics for the model resource
• Vertex AI Batch Prediction

Challenges

• Challenge 1: Let’s start importing data!
• Challenge 2: How quickly can you start training?
• Challenge 3: Getting the evaluation results
• Challenge 4: Time for batch prediction

Prerequisites

• Knowledge of Python
• Knowledge of Git
• Basic knowledge of GCP
• Access to a GCP environment

Contributors

• Naz Bayrak