Data Science on Google Cloud Platform: Predictive Analytics
- Offered byLinkedin Learning
Data Science on Google Cloud Platform: Predictive Analytics at Linkedin Learning Overview
Duration | 1 hour |
Total fee | ₹1,150 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Data Science on Google Cloud Platform: Predictive Analytics at Linkedin Learning Highlights
- Earn a sharable certificate
- 1 exercise file
- Access on tablet and phone
Data Science on Google Cloud Platform: Predictive Analytics at Linkedin Learning Course details
- This course?one of a series by data scientist Kumaran Ponnambalam?shows how to apply the power of GCP to generate predictions for business
- Start off by exploring the different tools and features for predictive analytics in GCP, including Cloud Dataproc, Cloud ML Engine, and the machine learning APIs such as Cloud Translation, Cloud Vision, and Cloud Video Intelligence
- Then explore learn how to build, train, and deploy models to create predictions. Plus, learn best practices for cost control, testing, and performance monitoring of predictive models
Data Science on Google Cloud Platform: Predictive Analytics at Linkedin Learning Curriculum
Introduction
Why use predictive analytics on GCP?
Data science modules covered
ML Options in GCP
Cloud Dataproc
Cloud ML Engine
Cloud Natural Language
Cloud Translation
Cloud Vision
Cloud Video Intelligence
Cloud Dialogflow
Cloud ML Basics
Models
Model versions
Jobs
Predictive analytics process
Model Building with Cloud ML
Understanding input data
Build and test model locally
Upload files to Cloud Storage
Modify code to work with GCP
Creating a training package
Running training synchronously
Training using jobs
Predictions in Cloud ML
Creating a deployment model
Creating a model version
Creating a prediction dataset
Running a prediction
Cloud ML Best Practices
Cost control
Local testing
Performance monitoring
Conclusion
Next steps
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