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GitHub / suraj5424 / Cuisine-Prediction
Predict Cuisine from recipe data, visualize cuisine distribution, train MNB, XGBoost, CNN, and Random Forest models for cuisine prediction, and evaluate performance with accuracy, confusion matrix, and classification report.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suraj5424%2FCuisine-Prediction
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 0 Bytes
Dependencies:
0
Created: 3 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Topics: cnn, datamanagement, datavisualization, eda, evaluation, kaggle, machine-learning, multinomial-naive-bayes, nlp, random-forest, textclassification, xgboost
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