je-suis-tm/machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

bamtak/machine-learning-implemetation-python

Basic Machine Learning implementation with python

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 63 - Forks: 48

97k/spam-ham-web-app

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

Language: Jupyter Notebook - Size: 68.3 MB - Last synced at: 15 days ago - Pushed at: over 6 years ago - Stars: 32 - Forks: 11

sksoumik/Forecasting-Weather-Using-Machine-Learning

Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Language: Python - Size: 226 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 15

pncnmnp/Bookmark-Manager

NLP based approach to automatically categorize your bookmarks!

Language: Python - Size: 642 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 6

ksdkamesh99/Spam-Classifier

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

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prash5t/final-year-project-undergrad

Undergraduate Final Year Project

Language: Dart - Size: 9.31 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0

abhi7585/Restaurant-Review-Sentiment-Analysis

This is the project that I created while working at TCS iON. The model is deployed on Heroku using Flask.

Language: Python - Size: 112 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 12

akbloodadarsh/Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

Language: Python - Size: 93.8 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 12

ksdkamesh99/Phony-News-Classifier

Phony News Classifier is a repository which contains analysis of a natural language processing application i.e fake news classifier with the help of various text preprocessing strategies like bag of words,tfidf vectorizer,lemmatization,Stemming with Naive bayes and other deep learning RNN (LSTM) and maintaining the detailed accuracy below

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insidersolutions/weka-mnb-sentiment-analysis-template-project

The template project for three way and five way sentiment classification

Language: Java - Size: 64.5 KB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 13

slmttndrk/Turkish_Sentiment_Analysis_With_Multinomial_Naive_Bayes

THIS PROJECT IS ABOUT TURKISH SENTIMENT ANALYSIS

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havelhakimi/DryBeans

Understand and Run Naive Bayes Algorithm on Dry Beans dataset

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dewiidda/Sentimen-Analysis-Tokopedia-Multinomial-Naive-Bayes-TFIDF

This is a program I created in Jupyter Notebook to classify tweet data on social media Twitter using the Multinomial Naive Bayes algorithm.

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DipakMajhi/Classify-Industry-for-Companies

A model that could accurately predict the Industry Domain for different start-ups and companies based on descriptions, titles and categories.

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Harshit-Shrivastava/Tweet-Classifier

Language: Python - Size: 7.55 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 0

meet244/Legal-Up

Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼

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raghavendranhp/Resume_screening

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

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Tejas-TA/Transformer-BERT-SMS-Spam-Detection

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

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abhinav-bohra/NaiveBayes

Implementation of Gaussian and Multinomial Naive Bayes Classifier using Python, Pandas, and NumPy without using any off the shelf library usi

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rajatdv/news-classifier

News classification using multinomial naive bayes and bag of words

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MubashirullahD/Tweets-Sentiment-Analysis

Sentiment Analysis of Tweets related to Vaccine.

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imraghavagr/Movie-Review-Sentiment-Prediction

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swap-253/Twitter-US-Airline-Sentiment-Analysis

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

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felipexw/guessb

Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.

Language: Python - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

Madhan-kumar-selvaraj/Artificial-intelligent-chatbot

AI chatbot designed for the coaching institute to respond to the students regarding the course details and deployed in the Flask web framework. Apart from that it can respond to the uses anything they ask.

Language: Python - Size: 454 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 3

aksharbarchha/Secret-Recipe-Challenge

A hackathon challenge solved using NLP where we try to predict the category of the recipe!

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taylorhawks/deutsch-nlp

Which one of five German authors can text be attributed to?

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slmttndrk/Turkish_Dictionary-Rules-_Based_Sentiment_Analysis

THIS PROJECT IS ABOUT TURKISH DICTIONARY(RULES) BASED SENTIMENT ANALYSIS

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Adioosin/Social-information-networks-project

User Profiling and Sentiment analysis of Twitter social network during the impeachment of Brazilian President

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JuzerShakir/Naive-Bayes-Tutorial 📦

Getting Intuition behind the implementation of Naive Bayes Classifier with SMS spam collection data.

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SebastianRokholt/Data-Science-Projects

A repository for various Data Science projects I've worked on, both university-related and in my spare time.

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rochitasundar/Twitter-Sentiment-Analysis

Data consists of tweets scrapped using Twitter API. Objective is sentiment labelling using a lexicon approach, performing text pre-processing (such as language detection, tokenisation, normalisation, vectorisation), building pipelines for text classification models for sentiment analysis, followed by explainability of the final classifier

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PetropoulakisPanagiotis/text-classification

Text Classification using scikit-learn. Classify BBC articles.

Language: Python - Size: 5.59 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

athrvkk/UCI-Sentiment-Analysis

Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.

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rtimbro185/syr_mads_ist736_text_mining

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining

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AimVoma/Sentiment-Mining

Graduation Project - Sentiment Mining

Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

benitomartin/nlp-news-classification

NLP News Classification

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

syeda434am/Spam-Email-Filtering

This repository focuses on the detection of spam e-mails using machine learning technique - Multinomial Naive Bayes Classifier algorithm. The goal of this project is to develop an efficient and accurate model that can classify e-mails as either spam or non-spam.

Language: Jupyter Notebook - Size: 242 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

mohammadnabia/Multinomial-nb-Spam-Identifier

Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.

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Madhan-kumar-selvaraj/Artificial-intelligent-chatbot-heroku-deployment

AI chatbot designed for the coaching institute to respond to the students regarding the course details and deployed in the Flask web framework. Apart from that it can respond to the uses anything they ask.

Language: Python - Size: 4.38 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 3

taeefnajib/predict-gender-from-first-name

This project trains a model using Multinomial Naive Bayes algorithm to predict gender of a person from his/her first name. For this project, we used a dataset downloaded from data.gov which contains a zip file containing 142 txt files. There are files for every year from 1800 to 2021.

Language: Python - Size: 6.81 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

eftekhar-hossain/Bangla-News-Comments

Sentiment Analysis of Bangla news comments. This work is implemented on a publicly available Bengali news comments dataset.

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kaiyoo/Twitter-geolocation-prediction

Predict location of twitter users based on text contents (TF-IDF, chi-square)

Language: Python - Size: 16.4 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

swarna0712/San-Fransisco-Crime-Classification-using-PySpark

Big Data Project - SSML - Spark Streaming for Machine Learning

Language: Python - Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

KhaledTofailieh/Hand-Written_Digits-Recognition

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adarshajit/Depression-Recognizer-for-Twitter

📲 Application that detects the presence of depression among twitter users. Multinomial Naive Bayes is used for classification.

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chpatola/election_nlp

Analyse of election machine texts from the Finnish parliament elections 2015

Language: Python - Size: 5.68 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

watcharap0n/m-business

linebot messengerbot @mango by fastapi

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Pawankumaragrawal587/Sentiment-Analysis-Using-Product-Review-Data

This Project can be used to analyse sentiment of customers from their reviews by using machine learning and text processing

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LinggarM/Movie-Genre-Classification-based-on-Synopsis-using-Deep-Neural-Network-and-TF-IDF-Vectorizer

Movie Genre Classification based on Synopsis using Deep Neural Network and TF-IDF Vectorizer

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lenaromanenko/lyrics_classification

Project to scrape the song lyrics and predict the artist from a piece of text.

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AbssZy/emailspamdetection

Email Spam detection using python and three different algorithms.

Language: Python - Size: 721 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

tanishq13/Sentiment-Analysis

Simple Codes

Size: 41 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

AmritK10/Twitter_US_Airline_Sentiment_Analysis

Analysing how travellers in February 2015 expressed their feelings on Twitter.

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rupav/Predict-Happiness

Hackerearth Challenge 😃😃😃

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jCodingStuff/NLPReddit

Multinomial classification tasks in Reddit

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freesoft/detox_bot

UIUC MCS-DS Fall 2018 CS410 Project

Language: Python - Size: 80.9 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

wikiabhi/Text-Classification-Twenty-Newsgroups

Text Classification on Twenty Newsgroups Data Set

Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 5

cache117/cs453-text-doc-classification

Text Document Classification Using a Multinomial Naive Bayes Model

Language: Java - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

ugyenn-tsheringg/Precision-Spam-Detection-Using-Multinomial-Naive-Bayes

This project implements a machine learning-based spam detection system to classify SMS messages as either spam or ham (non-spam).

Language: Jupyter Notebook - Size: 783 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Suvroneel/Spam-Email-and-Sms-Classifier

It’s an E2E ML project to filter spam msgs by using naive bayes classifier ✨💖

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CelianNourry/YTB-Comments-NLP-AI

Youtube comments scraper, annotator (positive/negative comments). Use of machine learning with Multinomial Naive Bayes classifier to create a model able to predict comments annotation.

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jasonhops/IE7500

This repository is for work on NEU IE7500 Project

Language: Jupyter Notebook - Size: 67.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

Amrutha-V0/SpamClassifier

This repository contains the code and dataset to detect Email/SMS spams

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aryansk/Email-Spam-Detection-with-Machine-Learning

This machine learning project implements an advanced email spam detection system using Python and scikit-learn. By leveraging Multinomial Naive Bayes classification, the system accurately distinguishes between spam and legitimate (ham) emails.

Language: Jupyter Notebook - Size: 288 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

abhinavsaurabh/Disease-Diagnosis-based-on-Symptoms

This project uses Machine learning and Information Retrival techniques to detect diseases based on symptoms.

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Harsh0713/SMS-Spam-Classification

The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).

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roniantoniius/Hoax-Detection-System-Using-ML-Algorithms-to-Identify-Fake-News

Language: Jupyter Notebook - Size: 182 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ShrustiMT/Codsoft-GENRE-CLASSIFICATION

Using Multinomial Naive Bayes, this code snippet illustrates a text classification task. It starts by loading training and testing data sets containing text descriptions and the associated genres.

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march038/TweetLocationAndVirality

Classify a tweet's location and chance of going viral using Classification with scikit-learns MultinomialNB Naive Bayes Classifier

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Udrasht/Multinomial-Naive-Bayes-from-Scratch

Classify the message is spam or not using Multinomial Naive Bayes.

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mjchimbadzwa/E-Commerce-NLP-Project

The following capstone project was part of satisfying the requirements of Simplilearn's AI master program.

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seunggihong/ML-Sklearn

Simple machine learning model using scikit-learn

Language: Python - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

GauravG-20/Spam-Email-Detection-using-MultinomialNB

The app takes email input in text format from the user and accurately classifies it either as spam or ham (not spam) with an overall accuracy of 95%. You can access the app using the link below.

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asad1996172/Articles-Analysis

New Article Analysis using KNN, Logistic Regression, Neural Networks and Multinomial Naive Bayes in python

Language: Python - Size: 19.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

redayzarra/NLP_YelpReviews

This project covers the topic of natural language processing or NLP to classify user-generated text and determine their intent. The goal of this project is to build a model that can classify 10,000 Yelp reviews into either one-star or 5-star reviews. This project showcases a step-by-step implementation of the model as well as in-depth notes.

Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

VGandhi27/Depression-Detection-using-Naive-Bayes

According to the World Health Organization, depression is the leading cause of disability worldwide. Globally, more than 300 million people of all ages suffer from the disorder. And the incidence of the disorder is increasing everywhere. Depression is a complex condition, involving many systems of the body

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

KevinDepedri/Sentiment-Analysis

Subjectivity removal and Polarity classification of movie reviews employing a shallow model (Multinomial Naive Bayes) and a deep model (Bidirectional LSTM with self-attention)

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Madhan-kumar-selvaraj/Smart-website-category-classifier-heroku-deployment

Classifying the website category and can able to learn the new category by the input of the user and the most commonly used words also populated. Used Spacy NLTK pipeline, Multinomial Naive Bayes classifier, Fastapi. Deployed the API in the Heroku cloud platform.

Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

DataRohit/IMDB-Reviews-Sentiment-Analysis

This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.

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2607amit/Text-Classification-using-Machine-Learning

# Text-Classification-using-Machine-Learning Building a multiclass Text Classification Model from scratch without using the inbuilt Sklearn model in order to identify which among the twenty categories a particular document belongs. A lot of data preprocessing is also performed in this project . And finally the built model's performance is compared with the inbuilt sklearn model's performance.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sachinraghult/Language-Identification-ML

Language Identification using NLP. The dataset used here is Europarl dataset consists of over 21 European languages which is extracted from the proceedings of the European Parliament that is trained by both Logistic Regression model and Multinomial Naive Bayes model. And, the trained model is deployed with front end using flask for user interface.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

chuksoo/imdb_movie_sentiment_analysisNLP

Practicum by Yandex Project 13: In this natural language processing project, we developed a system for filtering and categorizing movie reviews. The goal is to train a model to automatically detect negative reviews using dataset of IMBD movie reviews with polarity labelling. We built a model for classifying positive and negative reviews with an F1 score of at least 0.85.

Language: Jupyter Notebook - Size: 4.53 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

anillava1999/Stock-Sentimental-Analysis-Classifier

Stock Sentimental analysis Classifier using News Headlines

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VivanVatsa/DNA-sequencing-NLP-machinelearning-project

DNA sequencing using NLP (Natural Language Processing)

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sumitbishti/Malicious-URL-Predictor

Malicious URLs Predictor using Machine Learninig models; Logistic Regression and MultinomialNB algorithms.

Language: Jupyter Notebook - Size: 208 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

billy-moore-98/spam_filter

Development of a spam filter using a custom multinomial Naive Bayes algorithm.

Language: Jupyter Notebook - Size: 302 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

VivanVatsa/fake-filter_machinelearning_project

fake news classification (detection) project using XGBoost + MultinomialNB + Pycaret + CatBoost | NLP + Feature Engineering + Word Cloud

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sedabasaran/Makine-Ogrenimi-Machine-learning

Machine Learning Examples for Beginners

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sheetalkalburgi/road-accident-severity-prediction

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ravis2114/Text-Classification

fake news classification, spam classifier, stock predictions using classical machine learning algorithms such as Naive bayes, Multinomial Naive bayes to LSTM algorithm.

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harpreetvirkk/Movie-Review-Sentiment-Analysis

Movie Review Sentiment Analysis Using Multinomial Naive Bayes

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lorenanda/lyrics-classification

A friendly command-line bot that scrapes song lyrics and guesses the artist from input lyrics, trained with a Multinomial Naive Bayes Classifier

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ramachandra742/document-classification-ML

Document classification using ML

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maz2198/Natural-Language-Processing

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.

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yogeshnile/Sentiment-Analysis-of-Restaurant-Reviews

In this repo I have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP.

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sarthak25/Disease-Prediction-from-Symptoms

The aim of this project is to help people to figure the disease they might have based on the symptoms in their bodies currently

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swagatika15/TEXT-CLASSIFICATION

The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive Bayes with one in Sklearn. dataset used is 20_newsgroups

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AmritK10/20_Newsgroups_Text_classification

Text classification using Multinomial NB on 20_newsgroups dataset.

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