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https://github.com/fpt-thaituan/predicting-housing-prices-and-analyzing-real-estate-market-in-the-chicago-using-machine-learning
This project leverages machine learning to predict housing prices and analyze key trends in Chicago's real estate market. By examining historical data and socio-economic factors, it aims to provide insights for buyers, sellers, and investors, supporting informed decision-making in a dynamic market.
https://github.com/fpt-thaituan/predicting-housing-prices-and-analyzing-real-estate-market-in-the-chicago-using-machine-learning
ai house-price-prediction linear-regression machine-learning matplotlib numpy random-forest
Last synced: 29 days ago
JSON representation
This project leverages machine learning to predict housing prices and analyze key trends in Chicago's real estate market. By examining historical data and socio-economic factors, it aims to provide insights for buyers, sellers, and investors, supporting informed decision-making in a dynamic market.
- Host: GitHub
- URL: https://github.com/fpt-thaituan/predicting-housing-prices-and-analyzing-real-estate-market-in-the-chicago-using-machine-learning
- Owner: FPT-ThaiTuan
- Created: 2024-11-12T01:53:36.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-12T02:30:26.000Z (about 2 months ago)
- Last Synced: 2024-11-28T04:07:33.124Z (29 days ago)
- Topics: ai, house-price-prediction, linear-regression, machine-learning, matplotlib, numpy, random-forest
- Language: Jupyter Notebook
- Homepage:
- Size: 489 KB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0