- Course
Launching into Machine Learning
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis.
Beginner
- Course
Launching into Machine Learning
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis.
Beginner
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This course is included in the libraries shown below:
- AI
- Cloud
What you'll learn
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
Launching into Machine Learning
Beginner
Table of contents
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Introduction | 51s
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Improve data quality | 13m 6s
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Pluralsight: Getting Started with GCP and Qwiklabs | 3m 48s
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Lab intro: Improve the quality of your data | 1m 25s
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Lab Demo: Improve the quality of your data | 22m 38s
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Lab: Improving Data Quality | 10s
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What is exploratory data analysis | 4m 56s
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How is EDA used in machine learning | 4m 20s
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Data analysis and visualization | 3m 51s
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Lab intro: Explore the data using Python and BigQuery | 46s
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Lab: Exploratory Data Analysis Using Python and BigQuery | 10s
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Resources: Get to Know Your Data: Improve Data through Exploratory Data Analysis | 10s
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