Welcome the Kaggle challenge for Project 2! As part of a successful submission for Project 2, we will expect you to make **at least one** (and hopefully, multiple!) submissions towards this regression challenge.

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](https://en.wikipedia.org/wiki/Root-mean-square_deviation) (RMSE).

# Submission File Format
The file should contain a header and have the following format:.


```Id,SalePrice```