Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
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…
Branch: master

Fetching latest commit…

Cannot retrieve the latest commit at this time

Failed to load latest commit information.
BlueBook.ipynb
CPIAUCSL.csv
GDP.csv
INDPRO_vb.csv
LICENSE
README.md
cat_data.csv

README.md

Blue Book for Bulldozers Quantitative Model


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 notebook and additional information is stored at github.com/agconti/Bluebook. Information about the competition is located on Kaggle's website.

Coding and analysis by Andrew Conti

Instructions


Download the included IPython Notebook and the dataset from the competition website located here to follow along interactively. Please visit IPython.com for instructions on how to install the IPython IDE.

To view the notebook statically in the comfort of your own browser click here.

Something went wrong with that request. Please try again.