https://github.com/elmezianech/food-delivery-time-prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
https://github.com/elmezianech/food-delivery-time-prediction

artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression rmse standardisation xgboost-regression

Last synced: about 2 months ago
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This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

• Host: GitHub
• URL: https://github.com/elmezianech/food-delivery-time-prediction
• Owner: elmezianech
• Created: 2023-11-18T18:58:48.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-18T19:02:43.000Z (about 1 year ago)
• Last Synced: 2023-11-19T19:31:56.020Z (about 1 year ago)
• Topics: artificial-intelligence, cross-validation, data-cleaning, data-extraction, decision-tree-regression, feature-engineering, labelencoder, linear-regression, machine-learning, mae, ml, model-building, mse, r2-score, random-forest-regression, regression, rmse, standardisation, xgboost-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 138 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0

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