This project analyzes the Ames housing data and predicts the final sale price of houses in that dataset.
This is a learning project, based on the Kaggle Knowledge competition House Prices: Advanced Regression Techniques but the aim is to experience and document all steps in an end-to-end predictive modeling problem in great detail.
Think of it as an overblown kernel ;)
The original dataset is available here. A version of the dataset is available on Kaggle - this is the dataset we’ll be working with.
The project consists of three stages:
There’s also a repo with notebooks and code.