100 Days of ML Coding

Python code for common Machine Learning Algorithms

Text Classification Algorithms: A Survey

Display code with syntax highlighting ✨ in native way.

A Naive Bayes machine learning implementation in Elixir.

✉️ Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.

📊 Naive Bayes classifier for JavaScript

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

Implementation of Naive Bayes Classifier algorithm in PHP.

ML classifiers and examples from my graduate class at Stony Brook.

Learning to create Machine Learning Algorithms

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

A python code to detect emotions from text

🔥🌟《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!

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Naive Bayes with categorical and continuous data

基于朴素贝叶斯实现的一款微信公众号文章分类器

Naive Bayes Classifier in Swift for Mac and iOS

An evaluation of word-embeddings for classification

naive bayes in php

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

Generative poetry from a recurrent neural network filtered by emotional and external influences.

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 article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

Twitter Mining in Java

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

基于朴素贝叶斯实现的豆瓣影评情感分析

All codes, both created and optimized for best results from the SuperDataScience Course

Naive Bayes classifier for use in Lua

Naive Bayes classifier for first name binary gender prediction

Gauss Naive Bayes in Python From Scratch.