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GitHub topics: naive-bayes-algorithm

Ddeepanshu-997/Naive-Bayes

In this project i am performing the naive bayes on the given dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Naive Bayes.

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LaxmiChaudhary/Classifying-silhouettes-of-vehicles

Unsupervised Learning (PCA) on Vehicle dataset

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Aysenuryilmazz/Driver_Drowsiness_Detection

Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.

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Paul-Andrew-15/ICC-2023-Worldcup-prediction

Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.

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mohammadrobih/naive-bayes-text-classifier

Library PHP untuk klasifikasi teks Bahasa Indonesia menggunakan algoritma Naive Bayes Classifier (NBC)

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dvircohen0/ML-101

Machine-Learning-Algorithms-From-Scratch

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Shivank1006/Data_Analytics_with_the_Fisher_Iris_Dataset

Data Science Assignment

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mikeleo03/Supervised-Learning-Algorithm

Implementation of KNN and Naive-Bayes Supervised Learning Algorithm from Scratch to Cluster Phone Dataset

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kalthommusa/Udacity-Intro-to-ML-with-TensorFlow

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

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styles3544/Naive-Bayes

Some implementation and use cases of Naive Bayes.

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sarangiWijemanna/T_MachineLearning

Machine Learning 30 Days Challenges - Learn ML Concepts ❤

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Christoph18945/spamfilter

A very basic E-Mail Spam Filter.

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vivek2319/mercy

Functions and code snippets to help save the time!

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martian1231/gaussianNaiveBayesFromScratch

Gaussian Naive Bayes classification algorithm from scratch in python.

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BHouwens/elm-naive-bayes

Naive Bayes classification package for Elm for funzies

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pierogio/ML_classification

Machine learning classification applied to wine recognition data.

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hmlanden/TrafikiPy

An analysis of traffic accident data for the UK in 2014, using data from the UK Data Service. (Sourced from Kaggle with original data coming from UK Data Service. See wiki for complete citations.)

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VipinJain1/VIP-K-Nearest-Neighbors-Naive-Bayes-Logistic-Linear-Regression

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divyansh1195/Natural-Language-Processing

NLP Projects Implementation.

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vaitybharati/Reviews_Classification_Naive_Bayes

Data Cleaning, N-gram, WordCloud, Applying naive bayes for classification, Using TFIDF

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Nemshan/Naive-Bayes-algorithm-From-Scratch

replicating Naive Bayes algorithms from scratch that # Restrict to only categorical features # Give an error message if continuous features are provided # Function must have at least three parameters: Train, Test, Classification variable # Output produces predicted probability and classification #Use Titanic data to predict survival.

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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

Anshul21107/SMS-Spam-Classifier

SMS Spam Classifier is a machine learning project that classifies SMS messages as either spam or not spam (ham).

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sanjyotUM/NLP_assignment_3

Naive Bayes algorithm-based word sense disambiguation implemented from scratch.

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Nimit2098/Image-Recognition-of-handwritten-Digits

Developed a Naive Bayes Multinomial Machine Learning model which can recognize hand written digits with 84% accuracy.

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S-Oktay-Bicici/Machine-Learning

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi

Language: Python - Size: 89.8 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

afafirmansyah/artificial-intelligence

Basic AI techniques include rule-based systems, decision trees, and search algorithms

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vibhavddd/multinomial_naive_bayes_

This project uses inbuilt sklearn.naive_bayes.MultinomialNB classifier as well as the algorithm code from the scratch which is having accuracy even more than inbuilt classifier

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HenyerM/Building-a-Spam-Filter-with-Naive-Bayes

In this project, we're going to build a spam filter for SMS messages using the multinomial Naive Bayes algorithm. Our goal is to write a program that classifies new messages with an accuracy greater than 80% — so we expect that more than 80% of the new messages will be classified correctly as spam or ham (non-spam). Please watch the follow youtube video for more info about the Naive Bayes Theorem. https://www.youtube.com/watch?v=O2L2Uv9pdDA

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iamyourdre/naive-bayes-classifier-js

Naive Bayes classifier developed with MySQL, ExpressJS, and NodeJS by @iamyourdre.

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AbdelrahmanShehata482/Machine-Learning-Algorithms-Kmeans-Kmedoids-KNN-and-Naive-bayes-Python

Machine Learning Algorithms(Kmeans,Kmedoids,KNN and Naive bayes) with data cleaning and visualization

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AbdelrahmanShehata482/Data-mining-with-data-cleaning-and-visualization

Algorithms(Agglomerative hierarchical clustering ,Kmedoids and Naive bayes) with data cleaning and visualization

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sjayakum/csci544

Naive-Bayes classifier to classify hotel reviews as part of CSCI 544 - Applied Natural Language Processing Course

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Jijunjiang/Document-classification-algorithms-design

leangit

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donlapark/Dirichlet-Mechanism

The Dirichlet Mechanism for Differentially Private KL Divergence Minimization

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KunalDJoshi/Information-Retrieval-and-Text-Mining-algorithms

Knowledge processing technologies : Information Retrieval and text classification

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Mayurji/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Language: Python - Size: 868 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 122 - Forks: 37

UtkucanBykl/SofPythonBot

This Telegram-Bot answers python questions by using stackoverflow subjects.

Language: Python - Size: 98.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 11 - Forks: 6

mellophi/Email-Spam-Classifier

An Email Spam classifier using Naive Bayes

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dramsauer/Naive-Bayes-Classifier

Naive bayes classification on tripadvisor rate data

Language: Python - Size: 292 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

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

francheska-vicente/stintsy-naivebayes

This repository holds a guide to understand Naive Bayes.

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lijesh010/ML_Project-Iris_Data_Species_Classification_Algorithms

This repository contains a machine learning project focused on the classification of Iris flower species using different Classification algorithms.

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abdullah-abunada/image_classification

The goal of this project is to build a web application that will be trained on a set of labeled flower images to make predictions on the given input.

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Arun998/MACHINE-LEARNING

Machine learning Algorithms

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Kmohamedalie/Supervised_Machine_Learning-Classification

Supervised Machine Learning Algorithms

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NehaPant14/Loan-Prediction

Loan Prediction using Classification Techniques

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Abhishek-N/SMS-Spam-Detection-using-ML

SMS Spam and Ham Detection using Multinomial Naive Bayes Algorithm.

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friskyspock/amazon-reviews-excelr

Analyzing sentiments of product reviews on Amazon. Also made a predictive model using Naive Bayes

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FarhanAsfar/CSE366-Artificial-Intelligence-Codes

This repository contains the codes of my academic course CSE366-Artificial Intelligence. The problems are solved using the C++ language.

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Sai-Likhith/SpamGuard-Naive-Bayes-Email-Classifier

SpamGuard is an efficient email classification system powered by Naive Bayes algorithm. It quickly analyzes the content of an email, evaluating its likelihood of being spam. With a simple input of the email body, SpamGuard accurately determines whether the email is spam or not, providing users with a reliable and effective tool for spam detection.

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redayzarra/NLP_YelpReviews

This project covers the topic of natural language processing or NLP to classify user-generated text and determine their intent. The goal of this project is to build a model that can classify 10,000 Yelp reviews into either one-star or 5-star reviews. This project showcases a step-by-step implementation of the model as well as in-depth notes.

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sushriyamogasala/wine-quality-prediction

Our project utilizes the advanced algos such as Random Forest, Decision Tree, Gaussian NB,KNN,SVM to analyze various factors and attributes of wine samples, enabling us to predict their quality with remarkable precision.Whether you're a wine enthusiast or a producer looking to optimize quality control, this project is your go-to resource.

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shahiryar/Naive-Bayes

Naive Bayes Classification Algorithm from scratch, without using sklearn

Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

faezehabibi66/Naive-Bayes

Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes

Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Manjari-99/email_spam_verifier_99

The model with accuracy score 0.98 learns the email and creates a 'bag of words', from which the probability of an email to be spam with the presence of that word is calculated. Test emails are checked and if those threat words are found it is labeled as spam.

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gdfreitas/emotion-mining-python

Estudos sobre mineração de emoção em textos em Python

Language: Python - Size: 654 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

jasminefederer/twitter_classifier

Using Bayes theorem to train an algorithm which seeks to classify whether a tweet is more likely to be referencing 'tory' or 'evil'!

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zackhr/Twitter-Sentiment-Analysis-Covid-19

This work begins by collecting a dataset of tweets with twitter-streaming API regarding COVID-19 and classifying them according to the sentiment that is expressed: positive, negative or neutral

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CrookedNoob/All-Machine-Learning-Algorithms-explained-in-a-project

Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R

Language: R - Size: 567 KB - Last synced at: over 2 years ago - Pushed at: over 9 years ago - Stars: 1 - Forks: 1

ramzimimou/Classification-social-network-ads

Classification using Naive Bayes, Decision Tree and KNN algorithms

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flaviohenriquecbc/machine-learning-naive-bayes

A Machine Learning script based on Naive Bayes algorithm to detect SMS as spam or not

Language: Python - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

sumansid/Naive-Bayes-Classifier-Algorithm

Naive Bayes Classifier Algorithm used for Spam email classification (Trained using Spam Assassin Corpus). This algorithm is based on Multinomial Naive Bayes.

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Gaurav-Pande/Sentiment-Analysis

DL, ML, and Rule based approaches for Sentiment analysis

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Vishyyvishal/ML_Titanic

Who Survived the Titanic. 6 ML Algorithms

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Shangamesh2805/HeartDiseasePrediction

Heart disease is a major global health concern that affects millions of people around the world. Early detection and accurate prediction of heart disease can help to prevent the progression of the disease and save lives. In this project, we aim to develop a predictive model for heart disease using various machine learning algorithms.

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hussam95/Portfolio

Data Scientist Portfolio (ongoing)

Size: 1.61 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

fjstria/NaiveBayesClassifier

A demo of a Naive Bayes Classifier, programmed in Python.

Language: Python - Size: 2.44 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

grvnair/naive-bayes-from-scratch

Naïve Bayes algorithm from scratch using Python. Calculated the mean, variance and probability of each class and returned the class with highest probability using the argmax function. Implemented the algorithm on IRIS dataset and attained the accuracy of 95.56%.

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STProgrammer/Ensembled-naive-bayes-classifiers

Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.

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bsef19m521/100-Days-of-Machine-Learning

"100-days-of-machine-learning" is a repository containing a comprehensive guide to Machine Learning, covering the basics and advanced topics, with daily exercises and real-world examples for 100 days.

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ADVAIT135/Global_AI_ML

Notebooks for Global AI Hub ML course in Aug 2022

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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 - Size: 1.25 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 4

data-integrations/naive-bayes-analytics 📦

Naive Bayes Analytics Plugins: NaiveBayesTrainer and NaiveBayesClassifier plugins

Language: Java - Size: 44.9 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

leyresv/ML_algorithms_from_scratch

Machine Learning algorithms implemented from scratch

Language: Python - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shubov/machine-learning-lab-ss-21

Sklearn-like python package with class implementations of different ML algorithms

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abdulsamie10/NaiveBayesTextClassification

This reposioty contains Naive Bayes algorithm using python, numpy.

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peijin0405/Naive-Bayes-classification-model-from-scratch_NLP

Build a Naive Bayes classification model from scratch, and evaluate the performance of the model on the DBpedia14 dataset.

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arjunan-k/Spilter

Build a model for classifying the email & SMS messages into spam or not spam using standard classifiers.

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adwansyed/Machine-Learning-Naive-Bayes-Spam-Emails

JavaFX application detecting whether files are spam or not using Naive Bayes filtering

Language: Java - Size: 12.4 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 4

arjunssat/USA_Hospital_charge_Pred

Analyses the various charge imposed by hospital in various states across USA, it also predict the discharge of patients among the parameters

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PrathameshDhande22/NaivePY 📦

Naive Bayes Algorithm Module for python. https://pypi.org/project/naivepy/

Language: Python - Size: 31.3 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Swathiu/Sentiment-Analysis

A Sentiment Analyzer for a set of Hotel Reviews using Naive Bayes Algorithm

Language: Python - Size: 60.5 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 5

arjunssat/Lung_cancer_prediction

Analyses the lung cancer among the various parameter's of the patient.

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AyushTyagi1610/Naive-Bayes

Presented a detailed analysis of the mathematics involved in the backend of the algorithm of the model.

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efecanxrd/Naive-Bayes-Algorithm-From-Scratch

Naive Bayes Algorithm From Scratch

Language: Python - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

BragdonD/Naive-Bayes-Ngram-text-classifier-NLP

Basic Naive Bayes classifier for text classification using ngram

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dev-Roshan-lab/covid-screener

Well all it asks, are your symptoms to diagnose your risk toward covid-19

Language: Python - Size: 15.6 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

abhi195/ud120-projects Fork of udacity/ud120-projects

Starter project code for students taking Udacity ud120

Language: DIGITAL Command Language - Size: 19.1 MB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

as3eem/AmazonFoodReview

Data Mining on Amazon Fine Food Reviews Dataset. It also depicts a detailed comparative analysis of accuracies in various ML-Models.

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AnjaliChopra04/Text-Classification-Project

This project is based on an intelligent classifier that predict the topic of newspaper articles

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shawon100/Website-URL-Classification

URL classification by Naive Bayes algorithm

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ABR26/python-code

Python code,

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Ansh-create/BULLYING-COMBAT-OF-CYBERBULLYING-WITH-THE-HELP-OF-AI

Through this project I proposed a cyberbullying detection model whereby several model like Naïve Bayes, SVM, DNN model is used. In addition to it , numerous methods of text classification based on Artificial Intelligence were investigated ,This experiment trial test were conducted on a global Twitter dataset which I fetched from Kaggle. The experiment of this model results indicate that through this we achieved the best accuracy and accurate score with minute loss in our dataset, also their classification accuracy and loss are 96.82% and 0.1375, respectively. Future direction is properly based on or we can say working on cyberbully detection in various languages. Also to work on automatic detect from twitter without using the raw dataset.

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HxnDev/Implementing-GREP-using-Naive-Search

GREP is a command-line utility for searching plain-text data sets for lines that match a regular expression or simply a string. In this, I implemented GREP using Naive Search.

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sanchitsgupta/naive-bayes-classifier

An implementation of the Naive-Bayes-Classifier algorithm in C++.

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samyukthagopalsamy/Naive-Bayes-Classifier

Implementation of Naïve Bayes Classifier for Titanic Dataset. A Naive Bayes classifier is a probabilistic machine learning model based on Bayes' Theorem.

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sarahcodebyte/TitanicSurvivalPrediction

ML model to predict whether a person will survive the titanic disaster.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

JackOSheaDev/OOPMachineLearning

This is a project I created for my OOP course during semester 2 which uses Naïve Bayes to identify the likelihood of someone being an entrepreneur

Language: Java - Size: 175 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

harshkedia17/Spam-Ham-Message-Classification-NLP

In this project we classify the text messages given to us into HAM(legitmate) or SPAM using Naive Byes Machine Learning Algorithm of Natural Language Processing. The model gives an amazing accuracy of 0.96.

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Related Keywords
naive-bayes-algorithm 290 machine-learning 119 naive-bayes-classifier 108 python 73 naive-bayes 63 machine-learning-algorithms 49 logistic-regression 47 naive-bayes-classification 40 python3 32 decision-trees 31 random-forest 29 linear-regression 25 nlp 24 naive-bayes-implementation 22 jupyter-notebook 20 knn-algorithm 19 natural-language-processing 19 data-science 18 classification 17 pandas 17 sklearn 17 knn 15 classification-algorithm 15 sentiment-analysis 14 knn-classification 14 decision-tree 14 numpy 13 svm 12 artificial-intelligence 12 supervised-learning 11 decision-tree-classifier 11 nlp-machine-learning 10 data-mining 10 text-classification 10 scikit-learn 9 java 9 support-vector-machine 9 r 9 support-vector-machines 9 spam-detection 9 naivebayes 8 logistic-regression-algorithm 8 classifier 8 naive 8 svm-classifier 8 neural-network 8 nltk 8 bayes 7 multinomial-naive-bayes 7 flask 7 matplotlib 7 ml 7 machinelearning 7 ai 7 data-visualization 7 deep-learning 7 data-analysis 7 random-forest-classifier 7 spam-filtering 6 svm-model 6 seaborn 6 knn-classifier 6 scikitlearn-machine-learning 6 algorithm 6 bayes-classifier 6 k-means-clustering 6 sentiment-classification 6 k-nearest-neighbours 6 ridge-regression 5 data-mining-algorithms 5 prediction 5 clustering-algorithm 5 cross-validation 5 tf-idf 5 neural-networks 5 artificial-neural-networks 4 tensorflow 4 kaggle 4 regression 4 gaussian-mixture-models 4 sklearn-library 4 spam-filter 4 confusion-matrix 4 data-cleaning 4 algorithms 4 xgboost-algorithm 4 kmeans-algorithm 4 kmeans-clustering 4 iris-dataset 4 nltk-library 4 feature-engineering 4 rstudio 4 tfidf-vectorizer 4 text-mining 4 gradient-descent 4 flask-application 4 php 4 decision-tree-algorithm 4 maximum-likelihood-estimation 4 python-3 4