https://github.com/thedayisntgray/forcastingthefuture

Materials related to my talk on using machine learning in Ruby
https://github.com/thedayisntgray/forcastingthefuture

jupyter-notebook linear-regression machine-learning rubyml

Last synced: 2 months ago
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Materials related to my talk on using machine learning in Ruby

• Host: GitHub
• URL: https://github.com/thedayisntgray/forcastingthefuture
• Owner: thedayisntgray
• Created: 2023-04-16T20:25:40.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-04T20:12:27.000Z (over 1 year ago)
• Last Synced: 2024-10-31T23:51:38.224Z (2 months ago)
• Topics: jupyter-notebook, linear-regression, machine-learning, rubyml
• Language: Jupyter Notebook
• Homepage:
• Size: 789 KB
• Stars: 35
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# ForcastingTheFuture

Materials related to my talk on using machine learning in Ruby

# Authors Note:

This project is a useful example of the steps it takes to complete an ml project in ruby. Some of the libraries and methods used may not be the most optimal.

For example Linear Regression is not a great model for predecting the weather but is a simple model which makes it easy to explain for a talk.

There are other areas where there is room for cleanup if this were an actually going into production.

If you have any questions or want to get started on your own projects but need some guidance, you can reach out to me at [email protected]

If you have questions about the methodologies uses, I adapted a good portion of this project from [this video](https://www.youtube.com/watch?v=km95-NMT6lU&t=1258s)

I also want to thank my coworker AJ @ajhekman for helping me setup a docker file to accompany this repo and make it easier for folks to access.

# Docker Setup

Assuming you have docker installed, pull down the repo and run:

```

docker-compose up

```

# Useful Resources:

https://ankane.org/rails-meet-data-science