https://github.com/eldermedic/mlproject
Which of these classification models (decision trees, random forest, KNN, logistic regression, neural network and SVM) gives the most accurate prediction of secondary student final grades based on socioeconomic and behavioural factors from a student dataset?
https://github.com/eldermedic/mlproject
Last synced: 7 months ago
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Which of these classification models (decision trees, random forest, KNN, logistic regression, neural network and SVM) gives the most accurate prediction of secondary student final grades based on socioeconomic and behavioural factors from a student dataset?
- Host: GitHub
- URL: https://github.com/eldermedic/mlproject
- Owner: ElderMedic
- License: mit
- Created: 2021-03-03T18:57:52.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-03-03T18:58:56.000Z (over 4 years ago)
- Last Synced: 2025-02-11T15:56:34.495Z (9 months ago)
- Language: Jupyter Notebook
- Size: 448 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0