https://github.com/sivas-2/food-demand
This project aims to predict food demand based on historical data, leveraging various statistical methods to achieve accurate forecasts.
https://github.com/sivas-2/food-demand
data-analysis data-science dataanalysis food-demand-forecasting statistics
Last synced: 10 months ago
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This project aims to predict food demand based on historical data, leveraging various statistical methods to achieve accurate forecasts.
- Host: GitHub
- URL: https://github.com/sivas-2/food-demand
- Owner: sivas-2
- Created: 2024-07-21T15:43:20.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-21T16:04:35.000Z (almost 2 years ago)
- Last Synced: 2025-04-02T02:46:34.071Z (about 1 year ago)
- Topics: data-analysis, data-science, dataanalysis, food-demand-forecasting, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 15.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Food-Demand
This project aims to predict food demand based on historical data, leveraging various statistical methods to achieve accurate forecasts.
## Statistical Models Used
1.Linear Regression
2.Random Forest Regressor
3.DecisionTree Regressor
4.Gradient Boosting Regressor