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House-Prices-Regression

Management/Research Question:

The research question of interest is: What features impact sales price? Someone might care about this in order to set the price of a house on the market based on these features knowing that, for example, a fireplace making a house more valuable to buyers. Another reason someone might care is if a certain feature has a negative correlation with house price - they might want to change or spin that feature for the sale.

Requirements: Conduct your analysis using a cross-validation design. Conduct / improve upon previous EDA. Build models with many variables. Transform and feature engineer as appropriate. Build the following regression models.

  1. Basic Linear Regression - one variable
  2. Multiple Linear Regression
  3. Lasso
  4. Ridge
  5. ElasticNet

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