📝 Exercise: Try out learned skills on Ames Housing dataset

The goal of this exercise is to apply all learned skills to a new dataset: The Ames Housing dataset.

We use this dataset in a regression setting to predict the sale prices of houses based on house features. That is, the goal is to predict the target SalePrice from numeric and/or categorical features in the dataset.

Remember to explore the dataset before building models. Then, start simple and step-by-step expand your approach to create better and better models.

You can load the data as follows:

import pandas as pd

house_prices = pd.read_csv("../datasets/ames_housing_no_missing.csv")

In case this exercise is difficult: To help you get started, you can take a look at the description of the dataset.