data-science-competitions/Kaggle-House-Prices: Predict Sales Prices and Practice Feature Engineering, RFs, and Gradient Boosting
The house prices competition serves as a playground for data scientists to hone their skills. The goal of the competition is to predict sales prices for 1,459 houses. The competition features a dataset with more than 150 identifiable house attributes, termed amenities.
Getting started
Browse package contents
Package details |
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| Maintainer | Harel Lustiger <tidylab@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://www.kaggle.com/c/house-prices-advanced-regression-techniques |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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