GitHub topics: naive-bayes-classification

Repositories

jlaskow/Employee-Demographics-for-FritoLay

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression

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gbroques/naive-bayes

A Python implementation of Naive Bayes from scratch.

Language: Python - Size: 61.5 KB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 38 - Forks: 27

rmodi6/Email-Classification

Classifying emails into custom user labels

Language: Python - Size: 443 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 27 - Forks: 7

niiknow/bayes

naive bayes in php

Language: PHP - Size: 47.9 KB - Last synced at: about 13 hours ago - Pushed at: about 3 years ago - Stars: 67 - Forks: 15

MayankJhanwar/Email-Spam-Classifier

Email Spam Classifier will help people identify Spam E-Mails similar to the Spam encountered earlier, which are stored in a vast library of Spam E-Mails. This product will also help in identifying new Potential Spam E-Mails from known & unknown sources.

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AsadiAhmad/Naive-Base-Classifier

Navie Base Classifier for classifiing imdb comments

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shubham0204/GaussianNaiveBayes_Android_App 📦

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

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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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surmon-china/naivebayes

NaiveBayes classifier for JavaScript

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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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Foxel05/Finance-TransactionCategorizer

Automatically categorize bank transactions using a Naive Bayes Gaussian model

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AHBRIJESH/Naive_Bayes_Algorithm

The Student Success Predictor employs Naive Bayes to assess the likelihood of students achieving scores above 90, integrating study hours and personal factors. This model aids educators in identifying key elements influencing academic excellence, facilitating targeted interventions for enhanced student success. Contributions Welcome!!

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ccarlan98/Academic-Portfolio

Academic portfolio which showcases projects completed during my graduate studies

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mubashir-yaseen/sms_spam_filter

Naive Bayes Classification Algorithm to detect spam messages

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wangy8989/Bankruptcy-Prediction-using-Machine-Learning

Using various machine learning models to predict whether a company will go bankrupt

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Mugambi645/machine-learning-with-iris-dataset

Iris classification with supervised learning algorithms

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sondosaabed/Customer-Churn-Dataset-Analysis

Machine Learning, EDA, Classification tasks, Regression tasks for customer churn

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grzesiekmq/shopbot

shopping bot in python with naive bayes and Market Basket Analysis

Language: JavaScript - Size: 261 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Miaarka/Titanic-Project

Python Titanic Project

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Atharva309/MovieReview-SentimentAnalysis

Sentiment Analysis for Movie Reviews

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LaxmiChaudhary/Building-Naive-Bayes-Classifier-on-Pima-Diabetic-Dataset

Predict the onset of diabetes based on diagnostic measures

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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: 3 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

hwerbi/IRIS_DATASET_PYTHON

Ce TP vise à : - La prise en main de la bibliothèque scikit-learn de Python, dédiée à l'apprentissage automatique - Sensibilisation à l'évaluation des modèles appris en classification supervisée. Iris is a dataset introduced in 1936 by Ronald Aylmer Fisher as an example of discriminant analysis. This set contains 150 examples of criteria observed on different species of Gaspésie iris (Setosa, Versicolor, Verginica). Each example is composed of four attributes (length and width of the sepals in cm, length and width of the petals in cm) and a class (the species).

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mehulnaik16/restaurent-review-2.0

Sentiment analysis involves determining the sentiment expressed in a piece of text, classifying it as positive, negative, or neutral. In this project, it helps classify restaurant reviews to better understand customer feedback, providing insights into customer satisfaction and areas for improvement.

Language: Python - Size: 5.39 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

kkpro18/PredictingLoanDefaults

Predicting Loan Defaults using 15+ Features and over 250,000 records

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gustavecortal/naive-bayes

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

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NishraMahveen/A-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

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vbyrao/DataMiningAlgooos

Breast Cancer Data Analysis: Analyzes and classifies breast cancer data using a Naive Bayes classifier with preprocessing, label encoding, and k-fold cross-validation. Cars Dataset Analysis: Explores a cars dataset with data loading, statistics, and visualizations, including price distribution and correlation heatmap. Hayes-Roth Classification: C

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AkhilVinayakp/flood_classification

MINI PROJECT

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Coursal/Text-Sentiment-Analysis-In-Hadoop-And-Spark

The source code developed and used for the purposes of my thesis with the same title under the guidance of my supervisor professor Vasilis Mamalis for the Department of Informatics and Computer Engineering of the University of West Attica.

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NisrineBennor/Langage_R_Data_Visualisation_Machine_Learning

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pavleen14/Machine-Learning-Lab

Experiments for machine learning lab (ETCS 402) have been added here.

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ZavierLyu/Naive-Bayes-Classifier-for-Tweets

A ERG3020 project using Naive Bayes Classifier to classify the tweets during Hurricane Sandy's strike into five categories.

Language: Python - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

BetulKarakaya/Dry-bean-Dataset

Culled from the UCI Machine Learning Repository, the Dry Bean Dataset (licensed under CC BY 4.0) provides valuable insights into bean classification and is a valuable resource for machine learning enthusiasts.

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Ohara124c41/MLND-Finding_Donors

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

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HyrniT/decision-tree-naive-bayes

Artificial Intelligence

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abisliouk/IS661-TextAnalytics-Assignments

Group project for the 4 assignments of IS661-Text-Analytics at the University of Mannheim

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P7h/Spark-MLlib-Twitter-Sentiment-Analysis

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

Language: Scala - Size: 19.7 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 135 - Forks: 69

Jflick58/Easysentiment

GUI Application for Twitter Scraping and Sentiment Analysis.

Language: Python - Size: 135 KB - Last synced at: 6 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 5

raginisharma96/rain_prediction

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Aditya-Coomar/disease_prediction_model

Disease Prediction Model using SVM, GaussianNB and Random Forest Classifiers.

Language: Python - Size: 41 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

fzehracetin/naive-bayes-classification-from-scratch

This is my Data Mining course assignment for Naive Bayes Classification algorithm. I implemented Gaussian Naive Bayes on Python.

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israel-nogueira/naivebayes

Componente central de processamento de linguagem natural, voltado para aplicações de aprendizado de máquina.

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GChalkidis/IMDb-Dataset-Sentiment-Analysis

Sentiment analysis on the IMDb dataset through a custom multivariate Bernoulli Naive Bayes implementation and a rudimentary BiGRU RNN.

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Shaguns26/Fake-News-Detection

Fake News Detection-Naive Bayes Model

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mishika12/NLP-Classification_of_Tweets_into_Troll_Comments

Analyzing tweets from Twitter and classifying them into trolls using Natural Language Processing

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mehtashreyans3602/Email-Classifier

This Repository contains Classifer Program in a Python File as well as Jupyter Notebook to Recognize Spam Emails.

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LaxmiChaudhary/Classifying-silhouettes-of-vehicles

Unsupervised Learning (PCA) on Vehicle dataset

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032AbhishekChoksi/Machine-Learning-Exercises-with-Datasets

Machine Learning Algorithms Practicals in Python with Datasets

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anyiheng119/Predicting-Stock-Price-by-News-Headlines-through-Naive-Bayes-Classifiers

UCLA Master of Quantitative Economics Project for ECON 412

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CrapitalBeltway/WGU-MSDA

This repository contains the coding projects that I completed for the Masters program in Data Analytics at Western Governors University.

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kesari007/Toxic-Comment-Classification

Multilabel classification of comments based on their toxicity.

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prakashjha1/Loan-Eligibility-Prediction

This repository contains the codebase and resources for a machine learning-based project aimed at predicting loan eligibility for individuals. The project utilizes various algorithms and data preprocessing techniques to build predictive models that assess the likelihood of an applicant being eligible for a loan based on historical data.

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Uwalakac1/MachineLearning

Machine Learning projects

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dshah98/Machine_Learning_with_Python

Full machine learning practical with Python.

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dshah98/Machine_Learning_with_R

Full machine learning practical with R.

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TasneemKapadia/Language-Classification-Problem

Coursera Guided Project

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AmanSinghBhogal/NasaNEO_Classification

This project presents a comparative study of Quantum Naive Bayes and Classical Gaussian Naive Bayes algorithms applied to the NASA Nearest Earth Object Dataset.

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shrinath305/Prediction-on-health-care-data

Prediction the hospital readmissions for diabetes patients

Size: 3.2 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

santoshgunashekar/Machine-Learning

The implementation of different machine learning algorithms during the internship

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PrachiJain5/Airplane-Crash-Data-Analysis-

Language: Jupyter Notebook - Size: 945 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

divyansh1195/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 - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 4

EmamulHossen/Fake_News_Detection

Fake News Detection** is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.

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soham23/reviewsClassifier

Language: Python - Size: 13.4 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

avd1729/Sentiment-Analysis

Sentiment analysis using Naive-Bayes Classifier

Language: Jupyter Notebook - Size: 109 KB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Ishan-Kotian/Twitter-Sentiment-Analysis

Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.

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Ellie190/Heart-Disease-Project-AML

A Machine Learning Web Application to help health practitioners solve the problem of heart disease diagnosis using probabilistic machine learning methods.

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HosnawHb/KNN_and_Naive_Bayes_With_Scikit_Learn

The Purpose of this project is to familiarize with the Naïve Bayes and K Nearest Neighbor classification methods. Algorithms related to these two methods were implemented and then trained and tested on the Abalone dataset.

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anmol039w/Mini-Projects-For-R-Intro

This is a free tutorial guide for introduction to basic clustering and classification techniques in R

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sumeetddubey/nlp_reviews

Analysis of language processing algorithms on a dataset of game written game reviews

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Git-of-arnab/Document-Classification-NLP

a supervised multi-class classification problem where we will be finding the topic of the document based on high probabilty word occurence.

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rievaps/DiabetesMellitusPrediction

Diabetes mellitus symptoms prediction using classification algorithms.

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donlapark/Dirichlet-Mechanism

The Dirichlet Mechanism for Differentially Private KL Divergence Minimization

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HBA114/ClassificationAlgorithms

Naive Bayes and KNN Algorithm Homework

Language: C# - Size: 8.74 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

sakbarpu/TraditionalClassifiers

This repository implements the basic machine learning classifiers for the problem of Yelp reviews classification. We assume the problem to be a binary classification problem. The models implemented are Naive Bayes, Logistic Regression, Support Vector Machine (linear), Decision Trees, Bagged Decision Trees, Random Fforests, and Boosted Decision Trees.

Language: Python - Size: 2.01 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

Abarnakumar28/sms_spam_collection

SMS SPAM COLLECTION using Naïve Bayes

Language: Python - Size: 237 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

markab4/Naive-Bayes-Classifier

Python implementation of a Naïve Bayes classifier with bag-of-word (BOW) features and Add-one smoothing. Experimentation with binary NB.

Language: Mathematica - Size: 68.8 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 5

shikhashah2627/Naive_Bayes_Regression_Classification

The project conatins Gaussian Naïve Bayes and Logistic Regression to classify the Spambase data

Language: Python - Size: 514 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Shalini210688/Iris_Dataset_Classification

Iris dataset classification using different types of machine learning models

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MayaAmelieSeale/Sentiment_Analysis

Basic binary sentiment analysis of an Amazon review dataset, comparing an RNN + LSTM vs a Naive Bayes approach

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aditi-govindu/Movie-review-classification

Classify IMDb movie reviews as positive or negative using sentiment analysis libraries in python. Use the link below to test:

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pagalboy00/OIBSIP

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mohamedezzeldeenhassanmohamed/NLP-Project

Compound NLP GUI project, First used many ML algorithmes (SVM,Logistic Regression...etc) for nlp tasks like "News Classification",seconedly used specialized NLP tools for task like "Text Summerization",Thirdly used Deep Learning for NLP task like"Machine Translation",fourthly web scraping and pre-trained models for task"Code Generation"

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BirajCoder/email-spam-classifier

Email-Spam-Classifier using Naive Bayes Algorithm

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lethuyngocan/Machine-Learning-Projects-on-Classification-with-Python

In this resource, I will guide you through various projects where I employ diverse Classification Algorithms in Machine Learning to tackle a range of business problems.

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erfnzdeh/ML-Classifier-Project

A Simple ML Car Evaluation Application.

Language: C - Size: 76.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

rudikershaw/whichx

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

Language: JavaScript - Size: 399 KB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 38 - Forks: 6

prenio/Predicting-YouTube-Video-Clickbait-Potential-and-Predicting-Metadata-Statistics

Project on YouTube regarding predicting clickbait and metadata

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Shounak007/K-means-Clustering-Linearized-Regression

This project involves analyzing a database of students enrolled in an online course. By examining variables such as video view time and pause frequency, we aim to gain valuable insights into student engagement and optimize the learning experience. Key concepts include k means clustering, linearized regression and naive bayes regression.

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