High performance implementation of the Naive Bayes algorithm in R
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Feb 7, 2025 - R
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naive-bayes
Here are 49 public repositories matching this topic...
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
support machine-learning random-forest naive-bayes supervised-learning unsupervised-learning support-vector-machines knn self-organizing-map stochastic-gradient-boosting environmental-s
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Jan 6, 2025 - R
R codes for common Machine Learning Algorithms
random-forest svm naive-bayes linear-regression pca logistic-regression decision-trees lda polynomial-regression knn kmeans-clustering apriori-algorithm hierarchical-clustering svr xgboost-algorithm
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May 26, 2017 - R
A collection of problems solved with machine learning algorithms, using R.
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Jun 15, 2020 - R
Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ion…
naive-bayes naive-bayes-classifier expectation-maximization kmeans expectation-maximization-algorithm knn kmeans-clustering em-algorithm knn-classification kmeans-clustering-algorithm naive-bayes-implementation
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Dec 20, 2017 - R
One Data Set with multiple Algorithms
python r random-forest naive-bayes xgboost gbm logistic-regression knn decision-tree-classifier naive-bayes-classification gradient-boosting knn-classifier
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Nov 13, 2018 - R
Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?
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Apr 16, 2020 - R
SASTuit a free tool for sentiment analysis on Twitter, analyze the technological trends in this social media for the classification of tweets in Spanish as positive, negative and neutral using artificial intelligence. Developer by Anibal Armando Herrera Contreras
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Dec 8, 2020 - R
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
ggplot2 dplyr random-forest svm naive-bayes linear-regression foreach logistic-regression glmnet confusion-matrix stemming lemmatization dtf f1-score tidyr rscript nnet dtm worldcloud roccurve
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Jul 29, 2021 - R
This project focuses on predicting the attrition rate of employees by using different ML algorithms. The dataset is a fictional data taken from Kaggle
naive-bayes machine-learning-algorithms logistic-regression decision-trees employee knn-classification employee-attrition
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Sep 1, 2022 - R
AI-Models
data-science data-mining r ai neural-network naive-bayes linear-regression mathematics artificial-intelligence logistic-regression knn hmm-model knn-model
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Oct 14, 2021 - R
Does Machine Learning outperform Logistic Regression in predicting individual tree mortality? - code and data
machine-learning random-forest svm modeling naive-bayes logistic-regression forestry survival decision-trees mortality knn
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Feb 19, 2025 - R
A research for customer retention prediction using different algorithm in R
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Feb 26, 2019 - R
Six machine learning models for predicting bladder cancer progression using Caret package
machine-learning neural-network svm naive-bayes machine-learning-algorithms naive-bayes-classifier cancer-genomics caret lda support-vector-machines knn cancer-research knearest-neighbor-algorithm linear-discriminant-analysis classification-trees nnet nb
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Aug 20, 2019 - R
This project was conducted in my 3rd semester of Btech Data Science. Took a survey on home remedies from all kinds of people. We first cleaned our data and then predicted if one would prefer using home remedies or not using Naïve Bayes theorem in Excel as well as Python. Also tested a few hypotheses we made at the start of the project using z-te…
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Jun 14, 2021 - R
naive-bayes linear-regression pca-analysis expectation-maximization logistic-regression kmeans kfold-cross-validation
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May 29, 2018 - R
Application of Naive Bayes and Linear Regression Models
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Jul 30, 2024 - R
Predicting the income level of a person given demographic data.
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Jan 24, 2018 - R
A new Bayesian model, DISC-LM, that adapts the naive Bayes assumption of class-conditional feature independence to efficiently learn new categories
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Nov 25, 2024 - R
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