agconti/fueled-shopify-boilerplate
Shopify Boilerplate
Discovered public repositories for agconti in the GitHub catalog.
Shopify Boilerplate
This repository contains Shopify's Django App example updated for Django 1.5. Currenly there are several pull requests over a year old to update the official Shopify Repo. Since they have not been fulfilled I updated the example myself.
Responsive mutli-nested nav
Casual live data stream and visualization server.
Graduate level econometrics labs in Python/R
Public repository.
Sample CouchDB / Kanso application
A utility for calculating the distance between countries.
A django shopping cart app.
My solution to reverse engineering an optimized and non optimized elevator algorithm for BOA
A data intensive lunch app built in Django that morphs and changes with its user base to deliver restaurant ratings that actually matter.
A simple search page for magnify's video curation API.
An immersive look into the passengers of the titanic disaster. This data intensive web app examines each passenger's story as told by the data left behind. It even puts you into the mix. Uses Django and d3.js.
Basic Django Polls App
The Open Source Report Card
A collection of useful .gitignore templates
Hunch, its a lunch app.
Atlatl Django Project.
My website.
An economic analysis of US Dollar is NOT always the vehicle currency. The project will explore under what circumstances is another currency of denomination chosen? If not the US Dollar then what currency is being used?
A GUI for C & R MGMT that allows for efficient workflow and access environment for communicating with the company's database
A visualization animation of the central limit theorem in Python with Matplotlib.
An interactive tutorial that guides you through creating your first Django project. This notebook goes along with the offical guide from the Django project's website. This tutorial will take you through the process of creating a basic poll application.
An API for extracting tick data for US equities for ad-hoc analysis in Python with Pandas.
A repository the explores interacting with Hadoop through Python with IPython Notebooks.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
This IPython Notebook contains a quantitative pricing model created for Fast Iron in the Kaggle competition 'Blue Book for Bulldozers'. The model predicts the sale price of a particular piece of heavy equipment so that Fast Iron can create a 'Blue Book' to enable customers to valuate their heavy equipment fleet at auction. Here python is used as a medium to apply supervised and unsupervised machine learning techniques to explain 88.90% of the variance observed in the training set and score an RMSLE of 0.745 when predicting values on the test set. In this competition 590 data scientists created predictive models based on a 'training dataset', provided by Fast Iron, and then used those models to predict sale prices on a 'test set' to compete for a $10,000 dollar award for the team or individual with the most accurate model. The model and methods used for my entry, which scored in the upper 20%, is shown in BlueBook.ipynb.
This repository contains real trading examples explained and modeled in IPython Notebooks to generate discussion, feasible trading examples, and potential profit for the common man.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.