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
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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.
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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
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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.
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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
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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)
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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
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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++.
Language: C++ - Size: 688 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

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.
Language: Python - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

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.
Language: Jupyter Notebook - Size: 217 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
