Welcome the Kaggle challenge for Project 2! As part of a successful completion of Project 2, you will make at least one submission of predictions from your model.
In this challenge, you will use 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. You may engineer features based on the existing features.
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:
Id, SalePrice