naive-bayes

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h2oai /h2o-3

Star7.1k

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 opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl

UpdatedApr 28, 2025
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tirthajyoti /Machine-Learning-with-Python

Star3.2k

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

UpdatedMay 22, 2023
Jupyter Notebook

justmarkham /DAT8

Star1.6k

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

UpdatedJun 5, 2024
Jupyter Notebook

rust0258 /Deeplearning.ai-Natural-Language-Processing-Specialization

Star735

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

UpdatedJun 28, 2021
Jupyter Notebook

KristiyanVachev /Question-Generation

Star490

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

UpdatedFeb 14, 2024
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tsuirak /deeplearning.ai

Star368

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

UpdatedFeb 1, 2023
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moon-hotel /MachineLearningWithMe

Star268

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈出品

python machine-learning clustering svm naive-bayes machine-learning-algorithms kd-tree pca self-training gbdt ensemble-learning cart adaboost hca knn decision-tree-classifier svm-classifier hierarchical-clustering dbscan-clustering

UpdatedJan 16, 2025
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mandeep147 /Amazon-Product-Recommender-System

Star245

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

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

UpdatedNov 28, 2017
Jupyter Notebook

je-suis-tm /machine-learning

Star239

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, F…

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

UpdatedDec 16, 2022
Jupyter Notebook

arnaldog12 /Machine_Learning

Star223

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

UpdatedApr 27, 2022
Jupyter Notebook

catqaq /OpenTextClassification

Star207

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

text-classification svm naive-bayes transformers pytorch lstm gru multi-label-classification bert textcnn textrnn dpcnn chinese-text-classification torchtext ernie bert-text-classification