Google Colaboratory

April 10, 2019

Agenda:

  1. Brainstorm Ideas for Sessions
  2. Play with Google Colaboratory

Ideas from Brainstorming

  • NLP (clustering, sentiment analysis)
  • Formulas – data science & analysis – vocabulary/lingo – numpy – feature engineering
  • Feature Engineering
  • What’s next after training a model ** Applications of using models
  • From Nick – Eureka Alert
  • Deployment (How the heck do we do this) ** Combined session with CloudComputing Hexagon folks ** Framework – how to put AI into HaftaHave
  • Matlab Octave Learning (Ben – Gary)
  • Data Analysis of CoWorkingNight Data
  • BotOrNot for Instagram
  • Getting Started with Python – (Phil) ** Bring a machine – install Python on it ** Next session – Jupyter Notebooks ** Deploy python application with Flask
  • Getting Started with R (Jonathan)From the Mailing List:
  • Software Bots
  • Azure Notebooks for AI/ML

Interesting Data Sources for Projects

  • Twitter Data
  • Instagram Data
  • Facebook API
  • Web Scraping/Crawling
  • Where to get image data
  • Graingers Parts
  • Kaggle
  • Need CoWorkingNight check-in, session schedules, weather data

Notes for Google Colaboratory

https://colab.research.google.com/

Click the GITHUB tab for new notebook and enter https://github.com/HSV-AI/bug-analysis.git in the text box.

Click the magnifying glass to search the repository.

From the dropdown list of repositories, select bug-analysis.

Select Topic_Modeling_LDA.ipynb

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