Stars
Using Azure Machine Learning studio and R’s Caret package to analyse the trend and understand the underlying influencing factors of Ireland property rental market. Data from Private Residential Ten…
Python code for modeling rental prices in NYC.
An easy command line tool to scrape and analyze rental prices
Predicting prices of NYC rental listings based on various features
My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF Assessor data). I incorporate publicly available geospatial d…
R implementations of dynamic pricing models based on the EOQ (Economic Order Quantity) model
Converts the BroadbandUSA BIP/BTOP database into a useable TSV
script in R to create a dataframe with information on income per decile of population and calculate broadband affordability
A Python Notebook detailing how to adapt FCC Broadband Internet Access data for NYC use.
Galvanize Capstone - Can we use taxis and liquor licenses to forecast rental prices?
Neural Networks and other Machine Learning techniques to solve the Renthop Kaggle competition
Exploratory visualizations of SF home sale records from San Francisco (2009-2015)
Reddit Bot to provide more information about bills in the U.S. Congress
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
Python toolbox for simulation of matching markets in economics. Markets can be single period or dynamic. The simulation toolbox is built to be flexible to user-defined algorithms
FCC Electronic Comment Filing System (ECFS) Comment Submitter
The reddit Data Extractor is a cross-platform GUI tool for downloading almost any content posted to reddit. Downloads from specific users, specific subreddits, users by subreddit, and with filters …
Data for the U.S. National Broadband Map http://www.broadbandmap.gov/
Sentiment analysis and visualization on all things election
Repository of detailed instructions for running online panel field experiments.