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Project 2 - Ames Housing Data and Kaggle Challenge

You are tasked with creating a regression model based on the Ames Housing Dataset. This model will predict the price of a house at sale.

The Ames Housing Dataset is an exceptionally detailed and robust dataset with over 70 columns of different features relating to houses.

Secondly, we are hosting a competition on Kaggle to give you the opportunity to practice the following skills:

  • Refining models over time
  • Use of train-test split, cross-validation, and data with unknown values for the target to simulate the modeling process
  • The use of Kaggle as a place to practice data science

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