Machine Learning model for predicting real estate prices using advanced regression techniques and Python.
This project involves building a predictive model for house prices using feature engineering and regression algorithms. It demonstrates data preprocessing, exploratory data analysis (EDA), and model evaluation for real estate valuation.
- Data Analysis: Extracting insights from complex datasets.
- Visualization: Building interactive reports and dashboards.
- Technical Tools: Machine-Learning, Python, Data-Science, Regression, Business-Analytics.
This project is licensed under the MIT License - see the LICENSE file for details.