michaelbasca

Learning-From-Data-MOOC

Math-Requirements-For-Machine-Learning-Data-Science

A graph representing what courses and prerequisites are required to have a rigorous understanding of Machine Learning and/or Data Science

pep8.org

PEP 8, for Humans.

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-stats-talk

Doing Bayesian statistics in Python!

capstone

create-your-own-adventure

data-science-from-scratch

code for Data Science From Scratch book

data8assets

Assets for data8.org

digit_recognition

dotfiles

paul's shell, git, etc config files. also homebrew, migration setup. good stuff.

GraphWaveletNeuralNetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

gravizo

How to include graphviz graphs in github README

GRE

jupyter-reference-guide

Some snippets of code for reference

learnGitBranching

An interactive git visualization to challenge and educate!

matplotlib-tutorial

A short tutorial on how to make matplotlib plots.

Network-Analysis-Made-Simple

For PyCon, PyData, ODSC, and beyond!

pg2dm-python

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

recipes

reflections

scipy2017-jupyter-widgets-tutorial

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

Spark

test

titanic

Another go at the titanic data set.

tutmom

Tutorial on "Modern Optimization Methods in Python"

University-of-Washington

walklets

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).