A machine learning project that predicts house prices based on various features using data analysis and regression models.
- 🧹 Data Cleaning and Preprocessing
- 📊 Exploratory Data Analysis (EDA)
- 🛠️ Feature Engineering
- 📈 Model Training using Linear Regression
- ✅ Evaluation using R² Score, MAE, and MSE
- 📒 Jupyter Notebook with visualizations and explanations
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
Jupyter Notebook
- numpy==1.24.4
- pandas==2.0.3
- matplotlib==3.7.2
- seaborn==0.12.2
- scikit-learn==1.3.0
- jupyter==1.0.0
This project is licensed under the MIT License - see the LICENSE file for details.
- Inspired by real estate price prediction challenges.
- Thanks to the open-source community for tools and data science resources.