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https://github.com/deven96/google_cloud_ml_course

Last synced: 19 days ago
JSON representation

Host: GitHub
URL: https://github.com/deven96/google_cloud_ml_course
Owner: deven96
License: apache-2.0
Created: 2018-10-15T13:33:45.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2018-10-15T13:53:19.000Z (about 6 years ago)
Last Synced: 2024-10-15T19:41:01.303Z (about 1 month ago)
Language: Jupyter Notebook
Size: 10.1 MB
Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

README

        # 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](./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](http://gstatic.com/cloudssh/images/open-btn.png)](https://console.cloud.google.com/cloudshell/open/?git_repo=https://github.com/GoogleCloudPlatform/training-data-analyst.git)

## 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](CPB100)

### Data Engineering on Google Cloud Platform

  

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

1. [Serverless Data Analysis](courses/data_analysis)

2. [Leveraging unstructured data](courses/unstructured)

3. [Serverless Machine Learning](courses/machine_learning)

4. [Resilient streaming systems](courses/streaming)

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

https://www.coursera.org/learn/google-machine-learning

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

1. [How Google Does ML](courses/machine_learning/deepdive/01_googleml)

2. [Launching into ML](courses/machine_learning/deepdive/02_generalization)

3. [Introduction to TensorFlow](courses/machine_learning/deepdive/03_tensorflow)

4. [Feature Engineering](courses/machine_learning/deepdive/04_features)

5. [Art and Science of ML](courses/machine_learning/deepdive/05_artandscience)

6. [End-to-end machine learning on Structured Data](courses/machine_learning/deepdive/06_structured)

7. Production ML models

8. [Image Classification Models in TensorFlow](courses/machine_learning/deepdive/08_image)

9. [Sequence Models for Time-Series and Text problems](courses/machine_learning/deepdive/09_sequence)

10. [Recommendation Engines using TensorFlow](courses/machine_learning/deepdive/10_recommend)

### Blog posts

blogs/