There are 4 repositories under naive-bayes topic.
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.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
General Assembly's 2015 Data Science course in Washington, DC
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
Generating multiple choice questions from text using Machine Learning.
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。
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 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
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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。
Aulas da Escola de Inteligência Artificial de São Paulo
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
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
Sentiment analysis with Machine Learning
NaiveBayes classifier for JavaScript
Heart Disease prediction using 5 algorithms
Football Match prediction using machine learning algorithms in jupyter notebook
This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Ruby Scoring API for PMML
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
iris数据集的基本数据分析方法,包括KNN,LG,NB,SVM算法。
Gauss Naive Bayes in Python From Scratch.
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
A general purpose text classifier
Naive Bayes Text Classifier
A small, no dependencies, Naive Bayes Text Classifier for JavaScript
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
High performance implementation of the Naive Bayes algorithm in R
A Python implementation of Naive Bayes from scratch.
Final Year project based upon Network Intrusion Detection System
Python Makine Öğrenmesi ve Derin Öğrenme Kodları