Pinned Repositories
ajschumacher.github.io
blog
data_and_truth
a presentation for csv,conf 2014
dc_voter_reg
snapshot of DC voter registration data
emacs_python
A short talk for the DC Python meetup group on October 7, 2014.
gadsdc
materials for General Assembly Data Science DC course
gog
goggles! or: a separate layer for visualization
imagen
a sampling from ImageNet: 5 examples for each of 200 classes
mergic
workflow support for reproducible deduplication and merging
nypd
archive NYPD crime data PDFs
rjstat
read and write JSON-stat with R
ajschumacher's Repositories
ajschumacher/rjstat
read and write JSON-stat with R
ajschumacher/ajschumacher.github.io
blog
ajschumacher/mergic
workflow support for reproducible deduplication and merging
ajschumacher/.emacs.d
"dot files" aka configuration aka customization
ajschumacher/cnfg
config without the vowels, or, simple Python config in your home directory
ajschumacher/three_digit_numbers
simple short form for numbers over a common range
ajschumacher/20240525-play_with_marimo
ajschumacher/income
jobs, age, income, etc.
ajschumacher/20230916-datadive
DataKind DataDive
ajschumacher/20240610-linalg
ajschumacher/antimony
ajschumacher/asdf
ajschumacher/client-side-databases
An implementation of the exact same app in Firestore, AWS Datastore, PouchDB, RxDB and WatermelonDB
ajschumacher/cohens_h
visualizing Cohen's h
ajschumacher/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ajschumacher/gergelyorosz
ajschumacher/haskell
just messing around
ajschumacher/interviews_for_n_roles
How many people should you interview to fill `n` roles?
ajschumacher/lifelines
Survival analysis in Python
ajschumacher/mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
ajschumacher/or-tools
Google's Operations Research tools:
ajschumacher/parallel_coordinate_functions
visualizing functions with parallel coordinate plots
ajschumacher/pareto_chart
data and code for a blog post
ajschumacher/primary_textbooks
ajschumacher/prometheus
playing around with prometheus metrics
ajschumacher/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
ajschumacher/scikit-learn
scikit-learn: machine learning in Python
ajschumacher/sigfigs
plots for a blog post
ajschumacher/try_holoviz
code for blog
ajschumacher/weather
all scratch from little weather project