The code should run without issues with the Anaconda distribution of Python and its base environment.
For this project, we are interestested in using residential homes in Ames, Iowa data to better understand:
- What story can we tell from our target variable SalePrice?
- What features do people care about most when they buy a house?
- How accurately can we perform on predicting the houses sale prices?
The text file data_description.txt contains full descriptions of each column.
The csv file train.csv and test.csv are the datasets we use for this project.
The UdacityProjectBlogPost_HousePrices.ipynb file is the notebook of detailed analysis.
The main findings of the project can be found at the post available here.
The project was based on a competition offered by Kaggle. One can find the data overview here.