Skip to content
#

naive-bayes-classifier

Star

Here are 2,646 public repositories matching this topic...

Language: All
Filter by language
All 2,646 Jupyter Notebook 1,420 Python 734 Java 92 HTML 78 R 71 MATLAB 32 JavaScript 22 C++ 20 PHP 14 CSS 11
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

kk7nc / Text_Classification

Star 1.8k

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Nov 14, 2022
  • Python

Skylark0924 / Machine-Learning-is-ALL-You-Need

Star 371

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

qlearning random-forest tensorflow keras deep-reinforcement-learning pytorch lstm gan dqn naive-bayes-classifier logistic-regression resnet convolutional-neural-networks support-vector-machine decision-trees ddpg k-nearest-neighbours actor-critic trpo ppo
  • Updated Aug 25, 2023
  • Python

srafay / Machine_Learning_A-Z

Star 358

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az
  • Updated Jun 15, 2021
  • Python

jayshah19949596 / Machine-Learning-Models

Star 313

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm
  • Updated May 15, 2017
  • MATLAB

milaan9 / Machine_Learning_Algorithms_from_Scratch

Star 180

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience
  • Updated Dec 9, 2022
  • Jupyter Notebook

pavankalyan1997 / Machine-learning-without-any-libraries

Star 172

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

machine-learning-algorithms jupyter-notebook naive-bayes-classifier artificial-neural-networks k-means-clustering simple-linear-regression knn-classifier multiple-linear-regression
  • Updated Feb 5, 2019
  • Jupyter Notebook
MLWithPytorch

Mayurji / MLWithPytorch

Star 124

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

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm
  • Updated Dec 15, 2021
  • Python

gandalf1819 / Stock-Market-Sentiment-Analysis

Star 91

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

machine-learning r random-forest stock-market naive-bayes-classifier news-articles classification-algorithm sentiment-scores fundamental-analysis techincal-analysis
  • Updated Nov 10, 2020
  • R

Improve this page

Add a description, image, and links to the naive-bayes-classifier topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the naive-bayes-classifier topic, visit your repo's landing page and select "manage topics."

Learn more