https://github.com/ansh118/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
https://github.com/ansh118/ml_house_prediction
exploratory-data-analysis exploratory-data-visualizations gradient-boosting-regressor house-price-prediction house-rent-prices keras-tensorflow loki matlab matlab-script mlflow postgresql react regression regression-analysis
Last synced: 8 months ago
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project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
- Host: GitHub
- URL: https://github.com/ansh118/ml_house_prediction
- Owner: Ansh118
- Created: 2025-04-02T14:53:27.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-04-02T17:06:53.000Z (8 months ago)
- Last Synced: 2025-04-02T17:31:54.483Z (8 months ago)
- Topics: exploratory-data-analysis, exploratory-data-visualizations, gradient-boosting-regressor, house-price-prediction, house-rent-prices, keras-tensorflow, loki, matlab, matlab-script, mlflow, postgresql, react, regression, regression-analysis
- Language: Jupyter Notebook
- Size: 7.77 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning House Price Prediction
Welcome to the **ML_House_Prediction** repository! This project focuses on predicting house prices using Classification & Regression models. Additionally, it includes a Docker setup for easy deployment.
### Topics Covered:
- classification-model
- clustering
- deep-learning
- machine-learning
- matplotlib
- numpy
- pandas
- python3
- regression-models
- scikit-learn
🚀 Check out the latest release [here](https://github.com/Ansh118/ML_House_Prediction/releases).
## Project Overview
In this repository, you will find a comprehensive project on predicting house prices using various machine learning techniques. Whether you are interested in classification, regression, or deep learning models, this project covers it all. Feel free to explore the code and experiment with different algorithms to gain insights into house price prediction.
## Deployment via Docker
To make deployment a breeze, we have included a Docker setup within the repository. By leveraging Docker, you can quickly deploy the project environment without worrying about compatibility issues or complex setup processes. Just follow the instructions provided in the repository to get started.
### Getting Started
1. Clone the repository.
2. Navigate to the Docker setup directory.
3. Run the Docker build command.
4. Start the Docker container.
5. Access the project environment.
Visit the [latest release](https://github.com/Ansh118/ML_House_Prediction/releases) for detailed instructions on deploying the project using Docker.
## Explore the Possibilities
With a focus on practical application, this project equips you with the tools and knowledge to dive deep into house price prediction. Whether you are a beginner or an experienced data scientist, there is something here for everyone. Gain insights, make predictions, and enhance your machine learning skills through hands-on experimentation.
## Contribution Guidelines
If you are passionate about machine learning and house price prediction, we welcome your contributions to this project. Feel free to open issues, suggest improvements, or submit pull requests. Together, we can enhance the project and create a valuable resource for the data science community.
## Stay Connected
Stay up to date with the latest developments by visiting the [GitHub repository](https://github.com/Ansh118/ML_House_Prediction). Join us in the journey of exploring machine learning applications and honing our prediction skills.
Let's predict house prices with confidence and precision! 🏡💡
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Click below to access the latest release:
[](https://github.com/Ansh118/ML_House_Prediction/releases)