Introduction
This project is inspired by a famous Kaggle competition called House Prices: Advanced Regression Techniques. The original project on Kaggle is based on the Boston Housing dataset and is an ideal project for newbies to hone their skills on.
The original project on Kaggle gives you full opportunity to practice data cleaning, exploratory analysis, and modeling. However, one aspect of the data science project lifecycle was missing, i.e., data scavenging and extraction. The data is already extracted for you, and you don’t know how the information was gathered.
My objective was to achieve the same goals of the original project, but by doing so, using my dataset. Instead of Boston housing, I started looking into the Dubai real estate market and opted to use one of the prominent real estate property portals for my data extraction.
Continue reading
