The project consists of three pages:
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Scraping:
- Finds the number of pages to scrape
- Scrapes data from website.
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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
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Streamlit:
- Serving the selected model with streamlit
