:zap: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

No description provided.

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

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

No description provided.

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.

Classification Project: Sonar rocks or mines

Machine learning models that I created from scatch using python

Crime Prediction by using a machine learning algorithm

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

No description provided.

Machine Learning Project

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.

Spam analyser

Machine Learning Labs

Multinomial Naive Bayes Classifier for DNA Sequence Generation.

This project aims to predict the likelihood of machine failure using historical sensor and maintenance data. By leveraging supervised machine learning techniques, the model analyzes features such as temperature, pressure, vibration, and operational status to determine whether a machine is at risk of failure. The goal is to enable predictive mainten

Applied Navie Bayes algorithm on Amazon fine food review

IMDB movive reviews sentiment analysis based on Machine Learning , NLP and LSTM model [ open source ]

Spam mail filter using Naive Bayes theorem. An machine learning algorithm to classify the data in two class. 'Supervised Learning'

No description provided.