Course Description
Feature engineering can be an essential tool in applied machine learning when enhancing a dataset. In this course, you will learn about concepts of feature engineering, including areas of streaming architecture and implementations.
Learning Objectives
GCP Feature Engineering
- start the course
- describe the concepts of feature engineering
- recall the benefits of quality features with feature engineering and feature selection
- describe the process of input selection in feature engineering
- demonstrate feature engineering in use cases
Streaming Architecture
- recall the concepts of streaming data and real-time stream processing
- describe Dataflow triggers and late data
- install Java JDK on Windows 10
- demonstrate how to install Apache Maven on Windows 10
- install Google Cloud SDK and initialize SDK Shell on Windows 10
- demonstrate the process of streaming pipelines using Dataflow SDK 2.x and Java in Cloud SDK Shell
- demonstrate the process of streaming pipelines using Dataflow SDK 2.x and Python in Google Cloud Shell
Practice: Feature Engineering and Streaming
- describe feature engineering concepts and streaming data architecture
