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training-data-analyst

GCP 培训课程的实验室和演示 (http://cloud.google.com/training)。「Labs and demos for courses for GCP Training (http://cloud.google.com/training).」

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training-data-analyst

Labs and demos for Google Cloud Platform courses (http://cloud.google.com/training).

Contributing to this repo

  • Small edits are welcome! Please submit a Pull-Request. See also CONTRIBUTING.md
  • For larger edits, please submit an issue, and we will create a branch for you. Then, get the code reviewed (in the branch) before submitting.

Organization of this repo

Try out the code on Google Cloud Platform

Open in Cloud Shell

Courses

Code for the following courses is included in this repo:

Google Cloud Platform Big Data and Machine Learning Fundamentals

Course

https://cloud.google.com/training/courses/data-ml-fundamentals

Code

  1. GCP Big Data & Machine Learning Fundamentals

Data Engineering on Google Cloud Platform

Course

https://cloud.google.com/training/courses/data-engineering

Code

  1. Leveraging unstructured data
  2. Serverless Data Analysis
  3. Serverless Machine Learning
  4. Resilient streaming systems

Machine Learning on Google Cloud Platform (& Advanced ML on GCP)

Courses

  1. https://www.coursera.org/learn/google-machine-learning
  2. https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp

Codes

  1. How Google Does ML
  2. Launching into ML
  3. Introduction to TensorFlow
  4. Feature Engineering
  5. Art and Science of ML
  6. End-to-end machine learning on Structured Data
  7. Production ML models
  8. Image Classification Models in TensorFlow
  9. Sequence Models for Time-Series and Text problems
  10. Recommendation Engines using TensorFlow

Blog posts

blogs/

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Overview
Name With OwnerGoogleCloudPlatform/training-data-analyst
Primary LanguageJupyter Notebook
Program languageShell (Language Count: 22)
Platform
License:Apache License 2.0
所有者活动
Created At2016-04-17 21:39:27
Pushed At2025-06-09 21:15:46
Last Commit At2025-06-06 09:43:19
Release Count0
用户参与
Stargazers Count8.2k
Watchers Count292
Fork Count6k
Commits Count7.9k
Has Issues Enabled
Issues Count227
Issue Open Count153
Pull Requests Count1843
Pull Requests Open Count351
Pull Requests Close Count344
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