Sarajevo Flats Price Analysis

This project collects real estate data from Sarajevo online listings and performs regression analysis to predict apartment prices based on features like size, location, and other available attributes.

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Project Structure

sarajevo-flats/
│
├── README.md               # Project description and instructions
├── requirements.txt        # Python dependencies
├── .gitignore              # Files to ignore in Git
├── data/                   # Folder for scraped or cleaned datasets
│   └── sarajevo_flats.csv  # Scraped dataset
├── src/                    # Python scripts
│   ├── scrape.py           # Web scraping script using BeautifulSoup
│   ├── clean_data.py       # Optional: cleaning/preprocessing data
│   └── regression.py       # Regression model (train/test)
└── notebooks/              # Optional Jupyter notebooks for exploration
    └── exploration.ipynb

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Installation

1. Clone the repository:

git clone https://github.com/EmreArapcicUevak/EE418-Introduction-to-Machine-Learning-Project
cd EE418-Introduction-to-Machine-Learning-Project

2. Create a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

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Usage

1. Scrape data

Run the scraping script to collect apartment listings:

python src/scrape.py

This will save the dataset as data/sarajevo_flats.csv.

2. Clean / preprocess data (optional)

python src/clean_data.py

This script will format prices, sizes, and handle missing values.

3. Train regression model

python src/regression.py

This will train a regression model to predict apartment prices and display performance metrics.

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Dependencies

• Python 3.8+
• BeautifulSoup4
• Requests
• Pandas
• Scikit-learn
• Lxml (parser for BeautifulSoup)

Install via:

pip install -r requirements.txt

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Notes

• Scraped data is intended for educational and research purposes only.
• Web page structure may change; scraping scripts may need updates accordingly.
• CSV files are ignored in .gitignore to avoid large data in Git.

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