Welcome to one of two Kaggle challenges for Project 3! As part of a successful submission for Project 3, we will expect you to make at least one (and hopefully, multiple!) submissions towards this classification challenge.

In this challenge, you will use the well known Ames housing data to create a regression model that predicts the sale price of a house 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).

Submission File Format

The file should contain a header and have the following format:.


<pre>
Id,SalePrice
1461,169000.1
1462,187724.1233
1463,175221
etc.
</pre>