https://share.streamlit.io/enesbol/streamlitrepo/main/HousePrice.py
This project is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp.The model is trying to estimate the house prices related to users choices.
The dataset is available at Kaggle.
⚪️ Data was downloaded from kaggle and readed.
⚪️ Data is cleaned and get ready for model.
⚪️ Data was trained with XGBoost Regression Model.
⚪️ UI design with Streamlit
⚪️ Deploy with Streamlit Cloud
- Enes Bol - Github - LinkedIn
- Ömer Topçu - Github - LinkedIn
- Baranalp ÖZKAN - Github - LinkedIn
- Tunahan DEMİRKOL - Github - LinkedIn
- Furkan GÜNEŞTAŞ - Github - LinkedIn
- Eren GÜNEŞTAŞ - Github - LinkedIn
- Yasin TARAKÇI - Github - LinkedIn
- Kumru ORKUN - Github - LinkedIn
- M. Yavuz GÖKMEN - Github - LinkedIn