naivebayesclassifier
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raunak-r / data-science-notes
A collection of data science concepts, datasets, industry-applications, walk-through's & notes. See ISSUES tab for in-depth studies by topics.
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namsor / Java-Naive-Bayes-Classifier-JNBC
A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)
Language:Java 6prigarg / Naive-Bayes-algorithm-from-scratch-for-Text-classification
Naïve Bayes Algorithm is implemented from scratch in order to classify spam and not spam emails.
Language:Jupyter Notebook 5divyansh1195 / Restaurant-Reviews-Sentiment-Analysis
End-to-end implementation and deployment of Machine Learning Restaurant Reviews Sentiment Analysis using python, flask, gunicorn, scikit-Learn, nltk, etc. on the Heroku web application platform.
Language:Jupyter Notebook 2574567254 / Salary_prediction
Aims to build and test classification models to predict salaries from the text contained in the job description.
Language:Jupyter Notebook 1dixitamol / ML_code_templates_Py
Code templates for data prep and different ML algorithms in Python.
Language:Python 1LeondraJames / SMS-Spam-Prediction
Predicting whether an SMS (text message) is spam using natural language processing (NLP), naive Bayes classifier and cross validation (in Python)
Language:Jupyter Notebook 1abhay-ak-kulkarni / Customer_Churn
Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behaviour, contract details and the payment details. The data also indicates which were the customers who cancelled their service. Based on this past data, we need to build a model which can predict whether a customer will cancel their service in the future or not
0Abhy98 / Capstone-project
WEB AND SOCIAL MEDIA ANALYSIS
Language:Jupyter Notebook 0ANKITSHARMA98 / Restaurant-Review-s-Sentiment-Analyser
The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant is positive or negative
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arishty / travel-rec-automation
Implementation of natural language processing, supervised and unsupervised machine learning methods for classifying events around the US to automate a travel start-up's recommendation pipeline. Includes interactive command line tool.
Language:Jupyter Notebook 0DevanshMistry890 / iris-flower-classification
The aim of the iris flower classification is to predict flowers based on their specific features.
Language:HTML 0DhruvinV / MachineLearning
Machine Learning Algorithms implemented using Numpy and Scipy
Language:Python 0Fay-Balhareth / Predict-students-Pass-or-fail
This project uses data mining to analyze student performance and predict pass/fail outcomes.
Language:Jupyter Notebook 0Harsh251299 / Sentimental-Analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Language:Jupyter Notebook 0imane-ayouni / Fake-Images-Detector
Models to detect real pictures from fake photoshoped pictures
Language:Jupyter Notebook 0RadostinaIvanova / Personality-test
Personality test which classifies in four personality types. For the classification is used the natural language processing classification algorithm - Multinomial Naive-Bayes.
Language:Go 0Sandeep0510 / income_dataset
Implementing different model for Income Classification Python
Language:Jupyter Notebook 0- Machinearning-Model-Weather-Prediction-Rain-Snow-
shihabmuhtasim / Machinearning-Model-Weather-Prediction-Rain-Snow-
This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.
Language:Jupyter Notebook 0 STProgrammer / Ensembled-naive-bayes-classifiers
Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
Language:Jupyter Notebook 0- ML_NASA_Nearest_Object
swapanroy / ML_NASA_Nearest_Object
Objective of the program is to classify, nearest earth object as hazardous or not.
Language:Jupyter Notebook 0 UviniR / Python-for-Classification
This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms
Language:Jupyter Notebook 0BhagyashriT / UndergradProjects
The projects I've worked on in my under-graduate education.
Language:Javaburhanharoon / Naive-Bayes-Algorithm-ML-Iris-Dataset
Predicts the iris-plant-type using Naive Bayes algorithm and iris plant dataset from https://archive.ics.uci.edu/ml/datasets/iris
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Dianjoo / Klasifikasi-Berita-Berbahasa-Indonesia-dengan-Naive-Bayes
Klasifikasi Berita dengan Naive Bayes
Language:Jupyter Notebookdzvlfi / Twitter-Data-Sentiment-Analysis
Sentiment analysis with spark
Language:Jupyter Notebookimanom / Sentiment-Analysis
Created an api using flask to take user input statement, clean the dataset, model the data, and classify the statement as positive, negative or neutral.
Language:Jupyter NotebookJadeMaveric / NaiveBayesViz
Interactive Streamlit Visualisation for a Naive Bayes Classfier
Language:Pythonkadumkomutdev / ClickBait-headline-Analsysis-ML
A clickbait headline analysis which tells you if the headline is good to be attracted by users or not.
Language:Jupyter NotebookLiorReznik / NaiveBayesClassifier
A generic Naive Bayes Classifier from Scratch in Python 2 with the following principles: OOP, GUI,Files I/O (csv and txt), design patterns(observer-observable and MVC), the project is OS independent.
Language:Pythonpottekkat / naive-bayes-from-scratch
A simple implementation of the Naive Bayes Algorithm to understand its inner workings.
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