GitHub topics: naive-bayes-algorithm

Repositories

azagniotov/language-detection

This is a refined and re-implemented version of the archived plugin for ElasticSearch elasticsearch-langdetect, which itself builds upon the original work by Nakatani Shuyo, found at https://github.com/shuyo/language-detection. The aforementioned implementation by Nakatani Shuyo serves as the default language detection component within Apache Solr.

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Yahya222F/MuseumLangID---Model-for-Identifying-the-Language-of-Texts-for-a-Museum

🌍 Identify museum text languages automatically using TF-IDF and Multinomial Naive Bayes for accurate classification in Italian, English, and German.

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shahbajtahershezan/Crop-Recommendation-using-ML-Algorithms

A machine learning-based crop recommendation system that predicts the most crop to cultivate based on environmental and soil parameters. This project compares multiple classification algorithms, including SVM, Random Forest, Decision Tree, KNN, Naive Bayes, Logistic Regression, and ANN, to determine the optimal model for accurate crop prediction.

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mehmoodulhaq570/ML-Models

A repository consisting of implementation of all machine learning models.

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gbroques/naive-bayes

A Python implementation of Naive Bayes from scratch.

Language: Python - Size: 61.5 KB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 27

shubham0204/GaussianNaiveBayes_Android_App 📦

A simple implementation of the Gaussian Naive Bayes algorithm in Android ( with Kotlin ).

Language: Kotlin - Size: 960 KB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

niiknow/bayes

naive bayes in php

Language: PHP - Size: 47.9 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 69 - Forks: 15

kashifmuneer1085/AI-Language-Detector-and-Translator

A Python tool which utilize the Naive Bayes algorithm for language detection and English-to-French/Urdu translation. Backed by diverse datasets, it ensures precise results for seamless communication. Experience accurate linguistic processing without the complexity!

Language: Python - Size: 11.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

KG-GitHubRepo/ML

ML Projects and Practices

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PacktWorkshops/The-Machine-Learning-Workshop

An interactive approach to understanding Machine Learning using scikit-learn

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monicaaakke/Spam-Detector

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SuryaAbyss/Earthquake-prediction-using-Machine-learning-models

In this project, we use historic earthquake data from California to build machine learning models that predict: 📍 The probability of an earthquake in a region 📊 Its possible magnitude

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khetansarvesh/Tabular-Cross-Sectional-Modelling

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

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ticiaad93/Ecommerce-Product-Categorization

🛒 Automate e-commerce product categorization with a machine learning pipeline for accurate top and bottom-level classification from product metadata.

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CasperKristiansson/Elements-of-AI-Building-AI

All exercises for the course Elements of AI - Building AI

Language: Python - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 18 - Forks: 26

RubixML/Dota2

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

Language: PHP - Size: 4.89 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 15 - Forks: 2

Mai3Prabhu/Naive-Bayes-with-Tips-dataset

This project leverages the seaborn 'tips' dataset to predict the time of a customer's visit (Dinner or Lunch). It employs a Gaussian Naive Bayes classifier, demonstrating a practical application of machine learning for classification.

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dhrupad17/Machine-Learning-A-Z

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

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JunsuGun/Naive_Bayes_Implementation

Implement a Naive Bayes Classifier from scratch using Bayesian statistics to predict Boston house classifications. 📊🏠 Tools include Pandas, Numpy, and Scikit-Learn.

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madhurimarawat/ML-Model-Datasets-Using-Streamlits

This repository contains my machine learning models implementation code using streamlit in the Python programming language.

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M0ng00se7169/KNN-Naive-Bayes

Implementation of KNN and Naive Bayes Algorithm for Machine Learning from my university studies

Language: Python - Size: 224 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

temulenbd/tb-gnb-svm

This repository serves as a personal reference and could be helpful for future projects or studies.

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amallia/GaussianNB

Gaussian Naive Bayes (GaussianNB) classifier

Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 9

Mohamed-Walied/Sentiment-Analysis-using-Naive-Bayes-Algorithm

It's a Sentiment analysis Project using a Probabilistic model (Naive Bayes Algorithm). Using data from tweets on twitter to detect the postive and negative sentences.

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jasmeet1234/MailGuard_AI

Interactive email spam filter demo using Naive Bayes & Streamlit. Classifies emails as spam or ham. Built for learning ML basics.

Language: Python - Size: 112 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Sophy8281/ml-agorithms

Implementation of various machine learning algorithms

Language: Python - Size: 300 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

pierrelabroche/pierrelabroche.github.io

Collection of some of my academic and personal projects

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RYANFRANKLIN237/Data-science-ml

trained ML and DL models to give accurate classifications,predictions and recommendations

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Gracia243/spam_email_detector

Spam Email Detector

Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

mehmoodulhaq570/AI-Language-Detector-and-Translator

Language: Python - Size: 11.5 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

taufiqnoorani/spam-filter

A spam filter using Bayes Theorem / Naive Bayes algorithm.

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ankushmallick1100/A-COVID-19-Infection-Rate-Detection-Technique-using-Bayes-Probability

A COVID-19 Infection Rate Detection Technique Using Bayes Probability

Language: C - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

aryanparmarr/Sentiment-Analysis-of-Product-Reviews

Sentiment analysis, also known as opinion mining, is a NLP and ML task that involves identifying and categorizing sentiments expressed in text data. In the context of product reviews, sentiment analysis aims to determine whether the feedback provided by customers is positive, negative, or neutral.

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shubhamgoyal575/ECommerce-Product-Categorization

This project classifies e-commerce products into predefined categories using machine learning. It includes preprocessing steps like stopword removal, punctuation cleaning, and feature extraction. Models, including LSTM, are implemented, and evaluated for better accuracy.

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MaklonFR/PredictiveAnalytics-StudentsPerformance

Submission Dicoding Indonesia - Machine Learning Terapan (Predictive Students Analytics)

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NightFuryAnalytics/naive-bayes-walkthrough

A complete step-by-step guide to implementing the Naïve Bayes algorithm in Python, both from scratch and using built-in libraries. It is designed for beginners and practitioners looking to understand probabilistic classification, Bayes’ theorem, and its application in machine learning.

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ikanurfitriani/Diabetes-Prediction

This repository contains code archives for Diabetes Prediction with Machine Learning

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rbayuokt/rb-naiveBayes-Web

Algoritma Naive Bayes merupakan sebuah metoda klasifikasi menggunakan metode probabilitas dan statistik, Algoritma Naive Bayes memprediksi peluang di masa depan berdasarkan pengalaman di masa sebelumnya

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WasifSohail5/SpamShield

Spam Shield is a machine learning-based web application that classifies emails as spam or ham (not spam). It uses three different machine learning models to ensure accurate classification and is built with Streamlit for an interactive web interface.

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JBris/sentiment_analysis_examples

Several examples of sentiment analysis algorithms for textual data.

Language: Python - Size: 160 MB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

surmon-china/naivebayes

NaiveBayes classifier for JavaScript

Language: JavaScript - Size: 524 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 143 - Forks: 8

remykarem/mixed-naive-bayes

Naive Bayes with support for categorical and continuous data

Language: Python - Size: 167 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 68 - Forks: 7

Ashfadi/Gaussian-Naive-Bayes-Classification

Implements Gaussian Naive Bayes for gender classification based on physical features like height, weight, and age. Includes model validation through cross-validation and feature importance analysis.

Language: Python - Size: 185 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ajla-brdarevic/zadace-iz-vjestcke-inteligencije

Zadaće iz predmeta Vještačka inteligencija - PTF UNZE SI II Ciklus I Semestar 2024/25

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naufal-yafi/text-mining-nb.model

Text mining using Naive Bayes algorithm

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thevarunsharma/Accident-Prediction

Accident prediction using Naive Bayes

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R-Mahesh45/Salary-Prediction-using-Naive-Bayes

This project uses the Naive Bayes classification algorithm to predict an individual's salary based on features like age, education, occupation, and more. It evaluates model accuracy on training and test datasets. The model achieved a 77% accuracy on both sets.

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Himank-Khatri/SpamHam

NLP models trained using Bag of Words (BoW), Term Frequency - Inverse Document Frequency (TF-IDF) and word2vec to classify SMS as Spam or Ham.

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veronhoxha/snowflake-sentiment-analysis-and-performance-experiments

This project explores implementing the Naive Bayes algorithm in Snowflake using SQL and user-defined table functions, alongside conducting performance experiments using the TPC-H benchmark. The objective is to measure and understand the precision and efficiency of the algorithm within a modern cloud data platform.

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Mahbub2001/ZeroR-classifier-OneR-classifier-K-Nearest-Neighbor-Classifiers-Naive-Bayesian-Classifier-SVM-SVR

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juanhuaco/sleep-disorder-prediction-models

Features Engineering and application of ML algorithms (KNN, GaussianNB, Decision Tree, Random Forest)

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Blacknahil/ML-project Fork of Teklez/AI

This project implements classification models on the MNIST dataset using various feature extraction techniques and machine learning algorithms. It includes an analysis of accuracy based on different feature extraction methods like Raw Pixel Intensity, Histogram of Oriented Gradients (HOG), and Principal Component Analysis (PCA), demonstrating the e

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husnainfareed/simple-naive-bayes-weather-prediction

Simple naive bayes implementation for weather prediction in python

Language: Python - Size: 3.91 KB - Last synced at: 11 months ago - Pushed at: over 7 years ago - Stars: 27 - Forks: 31

RamEppala/imbalanceddatasetproject

Machine Learning Project on Imbalanced Data in R

Language: R - Size: 5.69 MB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 3

Armando-Velasquez/Predicciones-de-Genero

Algoritmo de predicción para géneros en base al nombre de una persona

Language: Jupyter Notebook - Size: 105 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

odubno/gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

Language: Python - Size: 16.1 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 21

Ahmed-Elsharkwi/Spam_Filter

spam_filter

Language: Python - Size: 196 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SandipWaghchaure7/lung-cancer-prediction-using-naive-bayes

lung cancer prediction using naive bayes but without using in build function. This paper presents a novel predictive model employing Naive Bayes classification, trained on comprehensive patient data encompassing 23 attributes like Alcohol use, Smoking, Coughing of Blood, and shortness of breath etc. Our model demonstrates significant promise

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AtheerAlzhrani/ml-projects

ML projects, which I worked on utilising different machine learning algorithms.

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daniel-lima-lopez/Sentiment-classification-with-Naive-Bayes-classifier

Python implementation of the Naive Bayes classifier, applied to the problem of classifying sentiments of Amazon product reviews

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Kalana-Dissanayake/Titanic-Model

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HamzaZafar10/Car-Price-Predication-KNN

Predicate car price from 4300+ data entries in dataset It Include KNN, Neural network ,Naive Bayes, KMean Clustering

Language: Jupyter Notebook - Size: 542 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

swap357/python-naive-bayes-classifier

Python based Naive Bayes Classifier using nltk

Language: Python - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

riddhigupta1110/DataWarehousingAndMining-V-MU-CSE

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

andi611/Naive-Bayes-and-Decision-Tree-Classifiers

Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

Language: Python - Size: 16.5 MB - Last synced at: 7 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2

GazDuckington/sensi

analisis sentimen bahasa Indonesia menggunakan naive-bayes

Language: Python - Size: 178 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

HarshitLaloriya/SMS-Classification-Model

In this ML project i have used Natural language processing (NLP) techniques and other data preprocessing techniques to feed my Machine Learning Algorithm a good data, and deploy it using flask.

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umarshahzadumar91/Email-spam-classifier

email spam classification is to identify and filter out unwanted emails,

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Vinandra-Adam-Saputra/Nstore-Mobile-Device-Damage-Analysis-System

Machine Learning Course Project 2024 - UNIVERSITAS MARITIM RAJA ALI HAJI FAKULTAS TEKNIK DAN TEKNOLOGI KEMARITIMAN PROGRAM STUDI TEKNIK INFORMATIKA

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Perceval-Wilhelm/Predicting-high-risk-of-death-patients-due-to-COVID-19-using-classification-algorithms

Predicting high risk of death patients due to COVID-19 using classification algorithms

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GiorgosG1an/Bayes-Network-And-Classifier

Implementation of Bayes Networks for probability evaluation and Naive Bayes Classifier for the classification of spam/ham emails.

Language: Python - Size: 664 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ThyagoMartins0/Make.a.IA

Criação de uma IA simples para o entendimento da arquitetura, tecnologia e aprendizamos de rede neural

Language: Python - Size: 162 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ChaitanyaK77/DocBot

DocBot is a cutting-edge machine learning model built with a user-friendly Graphical User Interface (GUI) for seamless disease prediction based on input symptoms. By leveraging ML algorithms and intuitive design, DocBot provides accurate and accessible disease predictions, transforming the healthcare experience for users.

Language: Python - Size: 979 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

D3struf/NLP-Chatbot

A Virtual Assistant integrated in TUP Website using NLP and Naive Bayes Algorithm

Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

gustavecortal/naive-bayes

Python implementation of naive bayes from scratch and using scikit-learn

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jabhij/PredictiveModelling_Cricket

Using past Sport (Cricket) data to predict next win for Team India, in any format of the cricket.

Language: Python - Size: 53.7 KB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

hadiprasetiyo/ChurnBank-NaiveBayes-Analytics

Repositori ini berisi proyek data mining yang menganalisis perilaku pelanggan di sektor perbankan, dengan fokus pada prediksi churn. Dilengkapi dengan visualisasi data dan implementasi algoritma Naive Bayes untuk analisis lebih lanjut.

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arnab7070/spampred

API based on flask using machine learning to detect spam comments. Use the URL for POST request

Language: Python - Size: 210 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

MohanBisunke/romanized-nepali-text-sentiment-analysis

The built model (Naive Bayes: Multinomial, Gaussian and Bernoulli combined voted) is Sentiment Analyzer for Romanized Nepali Text (Nepali words spoken in English Letters).The model predict either positive or negative

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Code-forlife/Data-Analytics-Experiment

This repository provides a practical learning ground for data analysis with code and visualizations. Explore techniques like Apriori algorithm, EDA, K-Means clustering, and more!

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tusharpandey003/Basics-of-machine-learning

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

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HyrniT/decision-tree-naive-bayes

Artificial Intelligence

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principie/Crypto_Chatbot

Crypto is a mental health conversational AI chatbot that can help people from depression, anxiety, stress, etc.

Language: CSS - Size: 10.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sonaxy/Heart_Failure_Prediction 📦

Heart Failure Prediction by developing various Supervised Learning algorithms in Python

Language: Python - Size: 282 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Hrichik1/Employee_Salary_Prediction

A dataset is taken from Kaggle and Naive Bayes algorithm is used to predict the salary of the employee

Language: R - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AashutoshSINHA/Predictive-Analysis-Using-Social-Profile-in-Online-P2P-Lending

Online peer-to-peer (P2P) lending markets enable individual consumers to borrow from, and lend money to, one another directly. We study the borrower-, loan- and group- related determinants of performance predictability in an online P2P lending market by conceptualizing financial and social strength to predict borrower rate and whether the loan would be timely paid

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