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: 4 days 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 (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-21T16:04:35.000Z (7 months ago)
• Last Synced: 2025-01-23T05:32:01.435Z (19 days 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
• 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