Deploy link: http://studentperformance-env.eba-mdtnqx7e.us-east-1.elasticbeanstalk.com/predictdata
MLProject is a machine learning project that aims to predict the price of houses in Boston based on various features. It uses the Boston Housing Dataset from scikit-learn and applies linear regression and random forest models to train and test the data.
To run this project, you need to have Python 3 and the following libraries installed:
- numpy
- pandas
- scikit-learn
- matplotlib
You can install them using pip:
pip install numpy pandas scikit-learn matplotlib
To run this project, you need to clone this repository and run the main.py file:
git clone https://github.com/Masud333/mlproject.git
cd mlproject
python main.py
This will output the mean squared error and the coefficient of determination for both models, as well as a plot of the predicted vs actual prices.