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https://github.com/tushar2704/wild_blueberry_yield_prediction
This project aims to predict the yield of wild blueberries using machine learning techniques. The dataset used for predictive modeling was generated by the Wild Blueberry Pollination Simulation Model, an open-source, spatially-explicit computer simulation program. The model allows for the exploration of various factors and predicts Yield
https://github.com/tushar2704/wild_blueberry_yield_prediction
artificial-intelligence classification data-science
Last synced: 19 days ago
JSON representation
This project aims to predict the yield of wild blueberries using machine learning techniques. The dataset used for predictive modeling was generated by the Wild Blueberry Pollination Simulation Model, an open-source, spatially-explicit computer simulation program. The model allows for the exploration of various factors and predicts Yield
- Host: GitHub
- URL: https://github.com/tushar2704/wild_blueberry_yield_prediction
- Owner: tushar2704
- License: mit
- Created: 2023-05-22T04:59:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-09T00:30:39.000Z (over 1 year ago)
- Last Synced: 2024-05-11T05:53:47.671Z (8 months ago)
- Topics: artificial-intelligence, classification, data-science
- Language: Jupyter Notebook
- Homepage: https://tushar-aggarwal.com
- Size: 5.37 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0