Welcome to the Kaggle challenge for Project 2! As part of a successful submission for Project 2, we will expect you to make at least one submission towards this regression challenge. Multiple attempts are highly encouraged

In this challenge, you will use the well known Ames housing data to create a regression model that predicts the price of houses in Ames, IA. You should feel free to use any and all features that are present in this dataset.

## Goal
It is your job to predict the sales price for each house. For each Id in the test set, you must predict the value of the SalePrice variable.

## Evaluation
Kaggle leaderboard standings will be determined by root mean squared error (RMSE).

$$
\text{RMSE} = \sqrt{\sum\frac{(\hat{y}-y_i)^2}{n}}
$$

## Submission File Format
Your submission be a `.csv` file. It should contain a header and have the following format:

Id,SalePrice
1461,169000.1
1462,187724.1233
1463,175221
etc.