https://github.com/csyhuang/training-data-analyst

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

https://github.com/csyhuang/training-data-analyst

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 69 committers (4.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.2%) to scientific vocabulary

Keywords from Contributors

mlops deep-neural-networks kubeflow kubeflow-pipelines distributed agent transformers langchain
Last synced: 9 months ago · JSON representation

Repository

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

Basic Info
  • Host: GitHub
  • Owner: csyhuang
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 22.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of GoogleCloudPlatform/training-data-analyst
Created almost 8 years ago · Last pushed almost 8 years ago
Metadata Files
Readme Contributing License

README.md

training-data-analyst

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

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-learning

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

Blog posts

blogs/

Owner

  • Name: Clare S. Y. Huang
  • Login: csyhuang
  • Kind: user

Data Scientist. Climate Scientist. Ph.D in Geophysical Sciences (U of Chicago). Love coding, writing and playing music.

GitHub Events

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Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 797
  • Total Committers: 69
  • Avg Commits per committer: 11.551
  • Development Distribution Score (DDS): 0.462
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Lak Lakshmanan v****n@g****m 429
lakshmanok l****k@g****m 101
Valliappa Lakshmanan l****k@v****m 27
Nigel Armstrong n****l@p****m 24
Ameer Abbas a****0@g****m 20
Ryan Gillard 3****d 17
khalid-m-salama k****a@g****m 14
Etsuji Nakai e****0@g****m 12
reddyv@google.com r****v@g****m 11
tomgcp t****n@g****m 8
David Chandler d****r@t****m 8
Brian Rice b****e@g****m 7
turbomanage@gmail.com t****e@g****m 6
Mylene Biddle m****b@g****m 6
Vikram v****1@g****m 5
Sowmya Kannan s****n@g****m 5
ajayhemnani a****h@g****m 5
root r****t@c****l 5
Davide Fiocco d****o 4
Jeremy Lewi j****y@l****s 4
Andreas Ehrencrona a****a@v****t 4
mlotstein m****n@g****m 4
663413318684-compute@developer.gserviceaccount.com 6****e@d****m 4
Charles Chan c****n 3
DongLee s****5@i****n 3
Ethan Holder x****n@g****m 3
Harish Brahmsandra h****b@g****m 3
Etsuji Nakai e****i@g****m 3
Allen Day a****y@a****m 2
Anthonios Partheniou a****u@e****a 2
and 39 more...

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
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