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Google Cloud Professional Machine Learning Engineer Cert Prep: 3 Designing Data Preparation and Processing Systems

via LinkedIn Learning

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Overview

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Learn about topics relating to designing data preparation and processing systems in preparation for the Google Professional Machine Learning Engineer certification exam.

Syllabus

Introduction
  • Overview
  • Course three key terminology
  • Onboard to GCP
1. Exploring Data
  • What is Google Colab?
  • Exploratory data analysis for life expectancy
  • Data science setup with virtualenv and pip on Windows
  • Graphing data for exploratory data analysis
2. Building Data Pipelines
  • Labeling data
  • Mechanical Turk labeling
  • Cleaning up data
  • Scaling data
  • BigQuery data pipelines with Colab
3. Creating Input Features
  • Feature engineering concepts
  • Extracting features from public datasets
  • Exploratory data analysis with Google BigQuery
Conclusion
  • Next steps

Taught by

Noah Gift

Reviews

4.6 rating at LinkedIn Learning based on 21 ratings

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