Kaggle House Prices - Advanced Regression Techniques

Build Models

This project is based on the House Prices Prediction - Advanced Regression Techniques competition on Kaggle.

Requirements

This project requires Python 3 and the following Python libraries:

• NumPy
• Matplotlib
• Seaborn
• Scikit-learn
• XGBoost

You will also need Jupyter Notebook installed to run the notebooks.

Execution

To run a single model, use the following command:

python base.py

To perform an ensemble run, use the following command:

python ensemble.py

To perform an ensemble run, use the following command:

python ensemble_best.py

Please ensure to update the data directory and parameters as needed before running the models.

House Prices Prediction App

House prices prediction app work still in progress.

Requirements

This project requires Nodejs 20. and the following Python libraries:

• Node.js

Getting Started

Install dependencies:

npm install

Run the development server:

npm run dev

Open http://localhost:3000 with your browser to see the result.