This project consists of prices for house sales which occurred between May 2014 and 2015. The first step was to clean this data and ensure fit for purpose. We then looked at which features would provide interesting insights and answered questions which would help generating insights. Finally we looked into building a model capable of predicting house prices.
| Files/Folder | Description |
|---|---|
| .ipynb Folder | This folder includes the Jupyter Notebook files that were utilized to make Machine Learning models |
| Dataset Folder | Within this folder, there are CSV tables that were used for model building. |
| Presentation Folder | This folder contains the presentation in pdf format. |
