⚡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

ML and NLTK model of Twitter Sentiment Analysis

Python Implementation of a Naive Bayesian Spam Email Filter

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 senti…

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

Crime Prediction by using a machine learning algorithm

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

This GitHub repository contains a spam-ham classification project using Naive Bayes (MultinomialNB and BernoulliNB). It processes text using tokenization, stopword removal, and TF-IDF vectorization. The model is evaluated using accuracy, precision, recall, and F1-score. Easily install dependencies and run the script for spam detection. 🚀

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