https://github.com/omara32/house-price-prediction-and-clustering-with-deep-learning
[WIP] House Price Prediction with Clustering and Autoencoders
https://github.com/omara32/house-price-prediction-and-clustering-with-deep-learning
autoencoder clustering house-price-prediction kmeans-clustering linear-regression neural-network python regression visualization
Last synced: 6 months ago
JSON representation
[WIP] House Price Prediction with Clustering and Autoencoders
- Host: GitHub
- URL: https://github.com/omara32/house-price-prediction-and-clustering-with-deep-learning
- Owner: OmarA32
- Created: 2025-04-05T04:13:15.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-05T04:32:28.000Z (6 months ago)
- Last Synced: 2025-04-05T05:27:36.620Z (6 months ago)
- Topics: autoencoder, clustering, house-price-prediction, kmeans-clustering, linear-regression, neural-network, python, regression, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 359 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# House Price Prediction with Clustering and Autoencoders
[WIP] This project explores **house price prediction** by combining **deep learning (autoencoders)**, **regression**, and **unsupervised clustering**.
---
## 🔍 Features
- 💡 **Autoencoder**: Compresses high-dimensional input data into meaningful latent representations.
- 📈 **Regressor**: Predicts house prices using a neural network with PyTorch.
- 🧠 **Clustering**: Uses KMeans on the encoded data to group similar houses.
- 📊 **Loss Visualization**: Track and plot training loss over time.
- 🏷️ **Sample Inspection**: Compare actual vs predicted prices and see which cluster a house belongs to.
Used Dataset: Ames Housing Dataset (Kaggle)
This project is not complete yet!