MLTS

Machine Learning Toolkit for SEO

Initial demo notebook here

What are the problems/needs?

What are the particular problems in the community that could be solved via machine learning.

Generating better titles.
Generating descriptions for pages. Summarization.
Generating alt text from images.
Need to get from the community.
Create a Twitterbot

What is the overall flow?

Data Getting
Data Cleaning and Feature Extraction
Iteration and Updating
Optimization
Models (train / predict)

Roles

Developing Use Cases
Evangelism / Community
Analytics (per Britney: Analytics)
Coding
Tutorials
Documentation / Readability
Unit Tests / Linting
Design

Data needs

Link data
Analytics
Scraping
Ranking data
Anonymous performance data

Proposed Structure

Most folders include a Todo.txt with some suggested items to start with.

APIs: Holds glue for various SEO APIs
Data: Holds datagetter classes for APIs and hosted datasets.
Docs: Holds the documentation for the repo.
Models: Holds various models that can be used to train on.
NPL: Glue for NLP libraries
Testing: Unit testing and CI
Tutorials: Holds iPython tutorials in Pytorch and Tensorflow
Config.py: Holds API keys and configuration data.
Main.py: The main application file.
requirements.txt: Python libraries needed to install via Pip.

Original concept gist: (source)