Projects in Awesome Lists tagged with multinomialnb
A curated list of projects in awesome lists tagged with multinomialnb .
https://github.com/ahmeterdempmk/language-detection-with-multinomialnb
A simple language detection project that uses MultinomialNB model. It has a local application that made with Streamlit.
jupyter-notebook language-detection multinomialnb python sklearn streamlit
Last synced: 24 Oct 2025
https://github.com/mbfakourii/drug-score-rating
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
bernoullinb drug-database linearsvc logisticregression mlpclassifier multinomialnb perceptron python sklearn
Last synced: 03 May 2026
https://github.com/redinfinitypro/redditsuggestor
Rating: (6/10) The project uses Python libraries and APIs to analyze Reddit data, predict user input, suggest new titles based on cosine similarity, calculate combined scores, and output the best suggestion.
countvectorizer difflib filedialog multinomialnb openpyxl pandas praw random scikit threading tkinter ttk
Last synced: 30 Apr 2026
https://github.com/RedInfinityPro/RedditSuggestor
Rating: (6/10) The project uses Python libraries and APIs to analyze Reddit data, predict user input, suggest new titles based on cosine similarity, calculate combined scores, and output the best suggestion.
countvectorizer difflib filedialog multinomialnb openpyxl pandas praw random scikit threading tkinter ttk
Last synced: 30 Sep 2025
https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
Last synced: 06 May 2026
