GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
repo name | GoogleCloudPlatform/training-data-analyst |
repo link | https://github.com/GoogleCloudPlatform/training-data-analyst |
homepage | |
language | Jupyter Notebook |
size (curr.) | 381596 kB |
stars (curr.) | 3207 |
created | 2016-04-17 |
license | Apache License 2.0 |
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
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
Data Engineering on Google Cloud Platform
Course
https://cloud.google.com/training/courses/data-engineering
Code
- Leveraging unstructured data
- Serverless Data Analysis
- Serverless Machine Learning
- Resilient streaming systems
Machine Learning on Google Cloud Platform (& Advanced ML on GCP)
Courses
- https://www.coursera.org/learn/google-machine-learning
- https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp
Codes
- How Google Does ML
- Launching into ML
- Introduction to TensorFlow
- Feature Engineering
- Art and Science of ML
- End-to-end machine learning on Structured Data
- Production ML models
- Image Classification Models in TensorFlow
- Sequence Models for Time-Series and Text problems
- Recommendation Engines using TensorFlow
Blog posts
blogs/