Implement a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms.
This repository contains Python code for predicting house prices based on features such as area, number of bedrooms, and number of bathrooms. The code uses linear regression as the machine learning model and performs outlier analysis and treatment to improve the model's accuracy.
Make sure you have the following libraries installed:
- Python
pandas
scikit-learn
matplotlib
streamlit
You can install these libraries using pip:
pip install pandas matplotlib seaborn numpy scikit-learn
Interactive dataset viewer.
Model performance metrics.
Visualization: Actual vs Predicted plot.
Custom input for house price prediction.
Dollar to Rupee conversion.