https://github.com/ismetcanbyk/ml-house-price-estimate-app

House price prediction with machine learning
https://github.com/ismetcanbyk/ml-house-price-estimate-app

lineer-regresyon machine-learning prediction prediction-model python random-forest scraping streamlit streamlit-webapp

Last synced: about 19 hours ago
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House price prediction with machine learning

• Host: GitHub
• URL: https://github.com/ismetcanbyk/ml-house-price-estimate-app
• Owner: ismetcanbyk
• Created: 2024-02-06T19:34:50.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-06T21:39:08.000Z (9 months ago)
• Last Synced: 2024-02-07T20:52:36.060Z (9 months ago)
• Topics: lineer-regresyon, machine-learning, prediction, prediction-model, python, random-forest, scraping, streamlit, streamlit-webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 65.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ML-House-Price-Estimate-App

The project consists of three pages:

1. **Scraping**:

   - Finds the number of pages to scrape

   - Scrapes data from website.

2. **Algorithm**:

   - Cleaning the captured data.

   - Separation of prediction and test data.

   - Testing Random Forest Regressor, Linear, Ridge Regression, LASSO Regression, Elastic Net Regression, Decision Tree Regressor and Gradient Boosting Regressor models.

   - Extracting the selected model using joblib

3. **Streamlit**:

   - Serving the selected model with streamlit

## Screenshots