navie-bayes-algorithm
There are 36 repositories under navie-bayes-algorithm topic.
Jack-Cherish/Machine-Learning
: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
VenkateshBH99/Hybrid-Random-Forest-Linear-Model
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
Ruban2205/Iris_Classification
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.
RiteshPuvvada/Machine-Learning-Lab
A cluster of Machine Learning algorithms
harshal306/PredictingSemanticOrientationOfCommunication
Sentiment Analysis of Communication over Social Network
binnazcabuk/Sentiment-Analysis-in-Turkish-Film
Graduation Project/Sentiment Analysis in Turkish Film Reviews
aman1108/Twitter-Sentiment-Analysis
ML and NLTK model of Twitter Sentiment Analysis
jieren123/SpamFilter-NavieBayes
Python Implementation of a Naive Bayesian Spam Email Filter
yowenter/bill-classifier
使用朴素贝叶斯算法把账单分类
ManojNirale/Document-Classification-ML
Classify different variety of documents/text files using all various word embedding techniques
minghust/MaliciousExeDetect
datamining, dataset: (UCI) Detect Malacious Executable(AntiVirus) Data Set
tushartotla12/sentiment-analysis
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.
d-vignesh/TwitterSentimentAnalysis
Application built with pyspark that tracks the trending hashtags and analyses the sentiments within each hash tag using Naive Bayes Classification
Lincoln-04/EmailSpamClassifier
Machine Learning Project
LucasMYSDev/ML-Model-from-Scatch
Machine learning models that I created from scatch using python
NiShApOkHaReL/ML-projects
This repository contains different small project based on different Machine Learning Algorithm.
Raghuls-github/Movie-Genre-Classification
Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.
RanjanRavi2398/Crime-Prediction
Crime Prediction by using a machine learning algorithm
rin2401/ml-lab
Machine Learning Labs
vaitybharati/Classification_Case_study
Classification Project: Sonar rocks or mines
Abatpool/DNA-Sequencing-NLP
Multinomial Naive Bayes Classifier for DNA Sequence Generation.
AnmolAdhikari/Twitter-Sentiment-Analysis-Using-NLP
Twitter Sentimental Analysis Using Natural Language Processing(NLP)
bluetickconsultants/sentiment-analysis
IMDB movive reviews sentiment analysis based on Machine Learning , NLP and LSTM model [ open source ]
datawrangler7798/Machine-Learning-Projects
This project is based on 2 case-studies: Vote Prediction and Text Analysis. The first project is to predict which party a citizen is going to vote for on the basis of their age and according to the answers given by the citizens to the questions asked in a survey conducted. The second project is based on the analysis of the inaugural U.S.A. Presidential speeches. One has to draw inferences based on the analysis done on these speeches. Skills and Tools Text Mining Analytics, Support Vector Machine - K Nearest Neighbour - Naive Bayes, Ensemble Techniques, Logistic Regression - Linear Discriminant Analysis.
harsh2011/SpamMailFilter
Spam mail filter using Naive Bayes theorem. An machine learning algorithm to classify the data in two class. 'Supervised Learning'
ManasaCheeku/E-farming-complete-support-system-for-Smart-Agriculture
E farming complete support system for Smart Agriculture - Research Paper
Akashash01/NLP-sentiment_analysis
It's helps computer communicate with humans in their own language and scales other language-related tasks.
anant1203/spam-classification
Classification of message as ham or spam
IMvision12/Tweets-Classification-NLP
Tweets classification using naive-bayes, LSTM, GRU, Pre-trained embeddings, tensorflow decision forest
niketan108/Navie-Bayes-on-Amazon-food
Applied Navie Bayes algorithm on Amazon fine food review