README.md
In data-science-competitions/Kaggle-House-Prices: Predict Sales Prices and Practice Feature Engineering, RFs, and Gradient Boosting
house.prices 
Predict Sales Prices and Practice Feature Engineering, RFs, and Gradient Boosting
Overview
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.
Installation
You can install house.prices by using:
install.packages("remotes")
remotes::install_local("house.prices")
data-science-competitions/Kaggle-House-Prices documentation built on Sept. 27, 2020, 12:03 a.m.
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house.prices
Predict Sales Prices and Practice Feature Engineering, RFs, and Gradient Boosting
Overview
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.
Installation
You can install house.prices by using:
install.packages("remotes")
remotes::install_local("house.prices")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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