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Portfolio Website Template

Template for Flatiron School Data Science students to build a portfolio website

To use:

  1. Make a fork of this repository
  2. Rename the repository <your github username>.github.io
  3. Clone the repository locally
  4. Edit index.html so it has information about you, and your project
  5. Replace img/profile.jpg with a photo of you, and jupyter_notebooks/example.html with your actual exported Jupyter Notebook (see explanation below for how to export a Jupyter Notebook as HTML)
  6. Git commit and push
  7. Now your website is live! It might take a couple minutes the first time around, but you should be able to navigate to https://<your github username>.github.io in the browser to see your live portfolio. This is a service of GitHub, called GitHub Pages

To export your Jupyter Notebook:

  1. In the same directory as the notebook, run jupyter nbconvert <your notebook name>.ipynb --to html --output <output file name>.html (for more details about the different nbconvert options, see the documentation)
  2. Move the generated .html file into the jupyter_notebooks directory of this repository
  3. Edit the link in index.html so it points to the generated file. This will be a relative path, something like <a href="jupyter_notebooks/king-county-housing.html" class="text-primary">View Jupyter Notebook</a>

Attribution

Start Bootstrap is an open source library of free Bootstrap templates and themes. All of the free templates and themes on Start Bootstrap are released under the MIT license, which means you can use them for any purpose, even for commercial projects.

Start Bootstrap was created by and is maintained by David Miller, Owner of Blackrock Digital.

Start Bootstrap is based on the Bootstrap framework created by Mark Otto and Jacob Thorton.

Copyright and License

Copyright 2013-2019 Blackrock Digital LLC. Code released under the MIT license.

Aaron Abrahamson's Projects

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

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A Brewery Recommender For Travellers

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