naive-bayes

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。

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

Aulas da Escola de Inteligência Artificial de São Paulo

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

Sentiment analysis with Machine Learning

📊 Naive Bayes classifier for JavaScript

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

经典机器学习算法的极简实现

Ruby Scoring API for PMML

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

Football Match prediction using machine learning algorithms in jupyter notebook

Essential NLP & ML, short & fast pure Python code

Naive Bayes with categorical and continuous data

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 machine learning applications in image processing and algorithm implementations including Matrix Completion, 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 in php

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

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

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.

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

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

Configurable Naive Bayes Classifier for text with cross-validation support

Sancho McCann's PhD Thesis Research Code

Heart Disease prediction using 5 algorithms