Will Koehrsen's repositories
Data-Analysis
Data Science Using Python
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
wikipedia-data-science
Working with and analyzing Wikipedia Data
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Machine-Learning-Projects
Machine Learning Experiments and Work
recurrent-neural-networks
Learning about and doing projects with recurrent neural networks
probabilistic-programming
Experimenting with and teaching probabilistic programming
Hands-On-Machine-Learning
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
discovering-disease-outbreaks-base
Starter repository for Manning PBC: Discovering and Tracking Disease Outbreaks with Data Science and Python
mastering-large-datasets
Work for Mastering Large Datasets with Python
willkoehrsen.github.io
Personal website with projects, articles, and about
project-spotify-enlight
Following tutorial: https://enlight.nyc/projects/build-a-spotify-widget
nyserda-proptech-challenge
Work for the NYSERDA Proptech Data Challenge
driven-data-cloud-cover
https://www.drivendata.org/competitions/83/cloud-cover/
material-ui-x
The Material-UI eXtension with advanced components for a richer eXperience.
dockerfile-wizard
Use CircleCI to build custom Docker images with combinations of common languages/dependencies
drive-interaction
Interact with Google Drive from command line and Python
gridstatus
Extract data from ISOs and other energy grid sources
gridstatusio
Python client for accessing the GridStatus.io Hosted API.
hello-rust
https://www.rust-lang.org/learn/get-started
judoscale-ruby
Official Ruby gems for the Judoscale Heroku add-on
slackchannel2pdf
Export the text contents of any Slack channel to a PDF file. https://pypi.org/project/slackchannel2pdf/