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The Top 11 Multinomial Naive Bayes Open Source Projects

Open source projects categorized as Multinomial Naive Bayes
Categories > Multinomial Naive Bayes
Machine Learning ⭐ 117
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic
most recent commit 2 years ago
Amazon Reviews ⭐ 17
Sentiment Analysis & Topic Modeling with Amazon Reviews
most recent commit 8 years ago
Bookmark Manager ⭐ 16
NLP based approach to automatically categorize your bookmarks!
most recent commit 2 years ago
Spam Ham Web App ⭐ 15
A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link
most recent commit 6 years ago
Restaurant Review Sentiment Analysis ⭐ 13
This is the project that I created while working at TCS iON. The model is deployed on Heroku using Flask.
most recent commit 5 months ago
Machine Learning Implemetation Python ⭐ 13
Basic Machine Learning implementation with python
most recent commit 4 years ago
Forecasting Weather Using Machine Learning ⭐ 11
Forcasting Weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
most recent commit 3 years ago
Weka Mnb Sentiment Analysis Template Project ⭐ 11
The template project for three way and five way sentiment classification
most recent commit 8 years ago
Twitter Sentimental Analysis ⭐ 6
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.
most recent commit a year ago
Drybeans ⭐ 5
Understand and Run Naive Bayes Algorithm on Dry Beans dataset
most recent commit a year ago
Multinomial_naivebayes ⭐ 5
Documentation of multinomial naivebayes from scratch.
most recent commit a year ago
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