Ben Simmons's repositories
springboard-ml
Springboard AI/ML career track, April 2019 cohort
technical-notes
My technical notes.
avalanchego
Official Go implementation of an Avalanche node.
ben-simmons.github.io
Build a Jekyll blog in minutes, without touching the command line.
book-bressoud-real-analysis
David Bressoud - A Radical Approach to Real Analysis
docker-for-data-science-tutorial
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
kaggle-covid
Kaggle competition for COVID-19
keras-idiomatic-programmer
Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Google Cloud Platform. No scripts.
techknacq-core
Core functionality for TechKnAcq project, originally designed by Linhong Zhu, then refactored by Vishnukarthik Lakshmanan, Gully Burns, and Jonathan Gordon.
techknacq-tk
The interface for building pedagogically expanded corpora, concept graphs, and reading lists.
Volume1-Student-Materials
Specifications files for Volume 1 labs. Download the PDF: