tree: b486fec0f9a44012748eb3826035bdde87f53e0e [path history] [tgz]
  1. kaggle_k_fold_cross_validation.py
  2. README.md
example/gluon/house_prices/README.md

House Prices: Advanced Regression Techniques

This example shows how to predict house prices and it is based on the House Price Kaggle challenge

First you need to download train and test data set from here:

https://www.kaggle.com/c/house-prices-advanced-regression-techniques/download/train.csv
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/download/test.csv

Afterwards you can execute the script with python kaggle_k_fold_cross_validation.py

For a detailed explanation of the code, you can check out this chapter of the Dive into Deep Learning book.