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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

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

GCP Big Data & Machine Learning Fundamentals

Data Engineering on Google Cloud Platform

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

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

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

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

  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/

About

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Resources

Readme
Apache-2.0 license

Contributing

Contributing
Activity

Stars

0 stars

Watchers

1 watching

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BranchesTags
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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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
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, 'i');
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BranchesTags
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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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
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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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
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, 'i');
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(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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BranchesTags
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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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
Repository files navigation
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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
Repository files navigation
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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
Stars
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
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if (!enabled) return;
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
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observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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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
https://cloud.google.com/training/courses/data-ml-fundamentals
GCP Big Data & Machine Learning Fundamentals
Data Engineering on Google Cloud Platform
https://cloud.google.com/training/courses/data-engineering
  1. Serverless Data Analysis
  2. Leveraging unstructured data
  3. Serverless Machine Learning
  4. Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
https://www.coursera.org/learn/google-machine-learninghttps://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
  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/
About
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Resources
Readme
Apache-2.0 license
Contributing
Contributing
Activity
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