https://github.com/Ramyadeveloper59/CLASSIFICATION-AND-PREDICTION-OF-RICE-QUALITY-BY-USING-MACHINE-LEARNING-TECHNIQUE.
To Predict the Rice quality like good or bad by using different types of machine learning like logistic regression, decision tree, support vector machine classifier, random forest classifier, K-nearest neighbor's classifier, and Gaussian Naïve Bayes classifier are used.
https://github.com/Ramyadeveloper59/CLASSIFICATION-AND-PREDICTION-OF-RICE-QUALITY-BY-USING-MACHINE-LEARNING-TECHNIQUE.
csvfile good-bad-rice jupyternotebook machine-learning python ricequality
Last synced: 5 days ago
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To Predict the Rice quality like good or bad by using different types of machine learning like logistic regression, decision tree, support vector machine classifier, random forest classifier, K-nearest neighbor's classifier, and Gaussian Naïve Bayes classifier are used.
- Host: GitHub
- URL: https://github.com/Ramyadeveloper59/CLASSIFICATION-AND-PREDICTION-OF-RICE-QUALITY-BY-USING-MACHINE-LEARNING-TECHNIQUE.
- Owner: Ramyadeveloper59
- Created: 2023-08-06T15:59:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-06T16:09:34.000Z (over 1 year ago)
- Last Synced: 2024-11-12T14:02:52.747Z (6 months ago)
- Topics: csvfile, good-bad-rice, jupyternotebook, machine-learning, python, ricequality
- Language: Jupyter Notebook
- Homepage:
- Size: 1.04 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md