#

naive-bayes

Here are 798 public repositories matching this topic...

h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning multi-threading opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl

Updated Apr 8, 2022
Jupyter Notebook

tirthajyoti / Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

flask data-science machine-learning statistics deep-learning neural-network random-forest clustering numpy naive-bayes scikit-learn regression pandas artificial-intelligence pytest classification dimensionality-reduction matplotlib decision-trees k-nearest-neighbours

Updated Jan 26, 2022
Jupyter Notebook

justmarkham / DAT8

General Assembly's 2015 Data Science course in Washington, DC

python data-science machine-learning natural-language-processing course clustering naive-bayes linear-regression scikit-learn jupyter-notebook pandas data-visualization web-scraping data-analysis ensemble-learning logistic-regression decision-trees regular-expressions data-cleaning model-evaluation

Updated Apr 18, 2016
Jupyter Notebook

ibrahimjelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

nlp machine-learning deep-learning naive-bayes coursera neural-networks logistic-regression attention-mechanism neural specialization probabilistic-models encoder-decoder sequence-models deeplearning-ai

Updated Jun 28, 2021
Jupyter Notebook

KristiyanVachev / Question-Generation

Generating multiple choice questions from text using Machine Learning.

nlp machine-learning ai naive-bayes word-embeddings spacy quiz cosine-similarity questions-and-answers question-generator spacy-nlp question-generation

Updated Oct 27, 2021
Jupyter Notebook

tsuirak / deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

machine-learning deep-learning naive-bayes natural-language linear-regression keras coursera logistic-regression k-means svm-classifier andrew-ng keras-tensorflow tensorflow2

Updated Jan 26, 2021
Jupyter Notebook

arnaldog12 / Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression

Updated Apr 11, 2021
Jupyter Notebook

mandeep147 / Amazon-Product-Recommender-System

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

python sentiment-analysis naive-bayes lstm logistic-regression recommender-system

Updated Nov 28, 2017
Jupyter Notebook

SchoolOfAISaoPaulo / aulas

Aulas da Escola de Inteligência Artificial de São Paulo

python data-science machine-learning statistics ai naive-bayes linear-regression jupyter-notebook estatistica aulas gans lstm-neural-networks schoolofai professores lambda3

Updated Dec 3, 2019
Jupyter Notebook

malavbhavsar / sentimentalizer

Sentiment analysis with Machine Learning

ruby rails machine-learning sentiment-analysis naive-bayes

Updated Feb 26, 2022
Ruby

surmon-china / naivebayes

Sponsor

📊 Naive Bayes classifier for JavaScript

nodejs classifier machine-learning naive-bayes machine-learning-algorithms javascript-library naive-bayes-classifier bayes naive-bayes-algorithm naivebayes naive-bayes-classification naive node-ml

Updated Apr 2, 2022
JavaScript

luokn / ml

经典机器学习算法的极简实现

python machine-learning log algorithms numpy svm naive-bayes pca logistic-regression perceptron kmeans adaboost lda gmm knn decision-tree

Updated Jan 5, 2022
Python

Fryingpannn / WallStreetBets_BigDataAnalysis

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏

python clustering naive-bayes scikit-learn reddit-api pyspark stocks

Updated Sep 29, 2021
Jupyter Notebook

funq

psaris / funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

machine-learning neural-network clustering naive-bayes linear-regression pagerank collaborative-filtering expectation-maximization logistic-regression kdb q k-means decision-trees k-nearest-neighbours reccomendersystem heirarchical-clustering page-rank neural-network-regression neural-network-classification

Updated Dec 28, 2021
q

machine-learning

je-suis-tm / machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

Updated Feb 1, 2022
Jupyter Notebook

asafschers / scoruby

Ruby Scoring API for PMML

ruby ruby-gem machine-learning random-forest naive-bayes classification gbm pmml decision-tree gradient-boosting-classifier rubyml gradient-boosted-models

Updated Feb 26, 2022
Ruby

lijqhs / text-classification-cn

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

python nlp machine-learning deep-learning text-classification svm word2vec naive-bayes scikit-learn keras corpus cnn logistic-regression tf-idf sogou embedding pretrained text-cnn keras-cnn embedding-layers

Updated Dec 16, 2020
Python

textgain / grasp

Essential NLP & ML, short & fast pure Python code

machine-learning natural-language-processing sentiment-analysis graph twitter-api semantics tokenizer naive-bayes document-object-model wikipedia-api perceptron google-api graph-visualization css-selectors wsgi-server decision-tree part-of-speech-tagger k-nearest-neighbors explainable-ai

Updated Mar 1, 2022
Python

prathameshtari / Predicting-Football-Match-Outcome-using-Machine-Learning

Football Match prediction using machine learning algorithms in jupyter notebook

python machine-learning naive-bayes exploratory-data-analysis jupyter-notebook logistic-regression svm-classifier

Updated Nov 7, 2018
Jupyter Notebook

remykarem / mixed-naive-bayes

Naive Bayes with categorical and continuous data

python naive-bayes naive-bayes-classifier continuous-data categorical-data gaussian-naive-bayes-implementation

Updated Sep 13, 2021
Python

niiknow / bayes

naive bayes in php

classifier php machine-learning php-library naive-bayes machine-learning-algorithms naive-bayes-classifier bayes naive-bayes-algorithm naivebayes naive-bayes-classification naive php-ml

Updated Jan 6, 2021
PHP

gokriznastic / 20-newsgroups_text-classification

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

python nlp text-classification naive-bayes scikit-learn naive-bayes-classifier multiclass-classification

Updated Nov 2, 2018
Jupyter Notebook

sileixinhua / Python_data_science_by_iris

iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。

data-science machine-learning kde numpy svm naive-bayes sklearn cross-validation python3 logistic-regression iris knn

Updated Apr 22, 2017
Python

chayandatta / Heart_disease_prediction

Heart Disease prediction using 5 algorithms

machine-learning data-mining random-forest clustering naive-bayes machine-learning-algorithms python3 supervised-learning logistic-regression machinelearning k-nearest-neighbours heart-disease disease-prediction dicision-tree heart-disease-predictor

Updated Jan 26, 2021
Jupyter Notebook

hmahajan99 / Text-Classification

Text Classification using Multinomial Naive Bayes (implemented from scratch in python3)

python text-classification naive-bayes sklearn

Updated Dec 30, 2019
Jupyter Notebook

odubno / gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

python naive-bayes naive-bayes-classifier bayesian bayes bayes-classifier naive-bayes-algorithm from-scratch maximum-likelihood bayes-classification maximum-likelihood-estimation iris-dataset posterior-probability gaussian-distribution normal-distribution classification-model naive-bayes-tutorial naive-bayes-implementation normal-naive-bayes naive-bayes-python

Updated Mar 10, 2019
Python

fzn0x / idnaive

[unmaintained] 🧠 A Simple Node.js Naive Bayes Library.

javascript naive-bayes multi-language hacktoberfest stemming

Updated Mar 25, 2022
JavaScript

krpiyush5 / Amazon-Fine-Food-Review

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

Updated Jul 26, 2019
Jupyter Notebook

gbroques / naive-bayes

A Python implementation of Naive Bayes from scratch.

python data-mining naive-bayes python3 naive-bayes-classifier classification naive-algorithm data-mining-algorithms naive-bayes-algorithm naivebayes naive-bayes-classification naive maximum-likelihood-estimation maximum-a-posteriori-estimation log-likelihood naive-bayes-tutorial naive-bayes-implementation laplace-smoothing

Updated Mar 27, 2018
Python

Nikronic / Machine-Learning-Models

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

reinforcement-learning random-forest svm naive-bayes linear-regression cnn thompson-sampling xgboost pca logistic-regression apriori lda ann decision-tree nlp-machine-learning k-nn support-vector-regression kernel-pca eclat upper-confidence-bound

Updated Nov 7, 2021
Python

Improve this page

Add a description, image, and links to the naive-bayes 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 topic, visit your repo's landing page and select "manage topics."