lstmemery Goto Github PK

githubdemo

Showing off git

horsekicker

Predict Prussian Army Horse Kick Fatalities At Scale

horsekickerpy

Predict horse kick deaths at scale (Python edition)

hyperopt-pydata

Hyperopt Talk for PyData

hyperopt-sklearn

Hyper-parameter optimization for sklearn

hyperopt-sklearn-presentation

Lightning Talk for Hyperopt Sklearn

hypothesis-python

Advanced property-based (QuickCheck-like) testing for Python

imbellus_ds

For Imbellus

jekyll-theme-libretto

Libretto is a Jekyll theme with classic styling and typographic details

julia-exercism

Answers for Julia Exercism exercises

kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

kaggle-galaxy-presentation

Presentation for the Kaggle Galaxy Competition

landmark-retrieval-prez

Presentation for the Landmark Retrieval Challenhe

lanyon

A content-first, sliding sidebar theme for Jekyll.

lstmemery.github.io

My personal blog

lunch-and-learn-validation

Code for Devhub Vancouver's Lunch && Learn on Model Validation

matthewemery.ca

mds-presentation

MDS presentation

minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

minimal-word2vec

A basic implementation of Word2Vec adapted from https://gist.github.com/mbednarski/da08eb297304f7a66a3840e857e060a0

movie_irv

Voting records for Film Club

outlier-detection

Lightning Talk on Isolation Forests and Shap values

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

principled-bayesian-workflow-pymc3

A PyMC3 translation of Michael Betancourt's "A Principled Bayesian Workflow"

progfun1-forcomp

Final Scala assignment

psych-eval-translation

public

Public documents for the Master of Data Science program at the University of British Columbia

puppykittynet

Baby's first convolutional neural network

pydata2017-lighteningtalk

pydata2017-sea-talk-notes

Some very incomplete notes from PyData Seattle 2017 talks