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blog

Pivotal Engineering Blog

citi-bike-analysis

An analytical deep dive on Citi Bike data

class-notes

LaTeX'd notes from McGill and Harvard

data-science-training

interpreting-decision-trees-and-random-forests

Unwrapping decision trees and random forests to make them less of a black box

jupyter-notebook-initializer

Default notebook template and auxiliary files to use for data science analysis.

jupyter-vim-binding

Jupyter meets Vim. Vimmer will fall in love.

link-analysis-intro

matplotlib-examples

mpp-plotting

Generating plots in-database. Useful for large data sets that cannot be plotted locally.

mpp-plotting-blog-code

object-detection

Using haar-like features and histogram of oriented gradients to detect faces and pedestrians.

pivotalr

Example/Training code for stuff in PivotalR

pivotalsql

Training stuff in Postgres/GPDB/HAWQ. Includes procedural languages (PL/R, PL/Python) and MADlib.

python-technical-analysis

Technical analysis indicators coded up in Python

python-utils

Python utility functions

r-utils

R utility functions

rulefit-feature-generator

Repository to generate RuleFit features in Python

spark-local-setup

Instructions on how to setup PySpark locally

spark-ml-examples

sparkr-aws-setup

stat221assignments

Old stat 221 assignments from Harvard