anahristian / house_prices_predictions

House Prices: Advanced Regression Techniques Kaggle Competition on Ames Dataset

House Prices: Advanced Regression Techniques Kaggle Competition on Ames Dataset

Goal

Predict sales prices and practice feature engineering, RFs, and gradient boosting. The goal of this notebook is to understand the Ames Dataset in order to uncover meaningful patterns and insights and model the data to make accurate sale price predictions.

Dataset

The Ames Housing dataset was compiled by Dean De Cock for use in data science education and it's a great a;ternative to the Boston Housing dataset. It describes the sale of individual residential property in Ames, Iowa from 2006 to 2010. This dataset contains only residential sales within the date set, only the most recent sales data on any property.