House-Price-Prediction-With-Machine-Learning

This dataset predicts the final sales price a buyer would purchase a residential home in Ames and Iowa.

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.

Different files in the project are as follows:

HPP.ipynb

Contains the main file of the project

test.csv

Contains the information used for the test set

train.csv

Contains the information used for the train set

datadescription.txt

Contains the full description of the columns in the test.csv and train.csv edited to match the column names used.