/price_factors

This repo includes codes of web scraping and preprocessing of the data

Primary LanguageJupyter Notebook

price_factors

I scraped the features like price (thousand TL), area (m2), date, floor_number, age of building, district, room_count and total_floor_number from https://www.hepsiemlak.com/. Firstly, I preprocessed the data. After that, I did EDA by using Tableau.

This repo includes codes of web scraping and preprocessing of the data