navie-bayes-algorithm

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

A cluster of Machine Learning algorithms

Sentiment Analysis of Communication over Social Network

Graduation Project/Sentiment Analysis in Turkish Film Reviews

Python Implementation of a Naive Bayesian Spam Email Filter

ML and NLTK model of Twitter Sentiment Analysis

使用朴素贝叶斯算法把账单分类

datamining, dataset: (UCI) Detect Malacious Executable(AntiVirus) Data Set

The project or work which goals to extract the opinions, emotions, attitudes of public towards different object of interest. Sentiment analysis is a form of shallow semantic analysis of texts. In the project an automatic approach that involves supervised machine learning and text mining classification algorithms are used which includes the sentimental analysis in various applications. Various fields like twitter tweets, movie review tweets, election result tweets, digital libraries, life sciences, social media tweets and various other fields have been analyzed and the algorithms like line regression, Support vector machine (SVM), Naïve bayes are used in every content and a result is brought out through the means of various types of graphs. More specifically, MOVIE REVIEWS have been considered and the scrapping reviews of a particular movie after the predicting the sentiment of each review and on that basis, status of the movie review is understood. It is predicted that one can generalize the other applications using the specific content even.

Classify different variety of documents/text files using all various word embedding techniques

This repository contains different small project based on different Machine Learning Algorithm.

Machine learning models that I created from scatch using python

Classification Project: Sonar rocks or mines

Application built with pyspark that tracks the trending hashtags and analyses the sentiments within each hash tag using Naive Bayes Classification

Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.

Crime Prediction by using a machine learning algorithm