MonzerDev/Fake-News-Detection

A robust fake news detection system leveraging machine learning models (SVM and Random Forest) to identify political misinformation. Includes preprocessing, training, and evaluation scripts with datasets available for download.

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Nazliozum/breast_cancer

A mini ML project of feature and model selection on breast cancer data

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jmarihawkins/sms_spam_detector

The purpose of this project is to build a machine learning model to classify SMS messages as either "spam" or "ham" (not spam). Using TF-IDF vectorization and LinearSVC, it reads an SMS dataset, transforms text data into numerical features, and trains a model to distinguish between spam and ham. The "SMSSpamCollection" dataset has labeled messages.

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daniel-was-taken/Fake-News-Detection

Fake news detection using TF-IDF vectorization and LinearSVC

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SmridhVarma/Fake-News-Detection

This repository houses a Streamlit web application for fake news detection. The app allows users to input a news article and predicts whether it is likely fake or real based on its content. It provides options to select different vectorizers (TF-IDF or Bag of Words) and classifiers (Linear SVM or Naive Bayes) to customize the prediction model.

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DiaaMohsen/sentiment_analysis-on_movie_reviews_kaggle

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piyush-multiplexer/Machine_Learning_Data

ML algorithms in Python

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Luiggi-piero/python-sklearn-curso-5

Machine Learning clasificación con SKLearn

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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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Raghuls-github/Movie-Genre-Classification

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

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angelophysis/classificacao_cachorro_ou_porco

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jerrycyng/Natural-Language-Processing-Classification-and-Clustering

NLP Classification and Clustering with spam SMS dataset

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Erdos1729/text-classification-ml

Application of various text classification algorithms on multiple datasets.

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allanssematimba/Company-Bankruptcy-Prediction

This project aims to determine the likelihood of a company facing bankruptcy, a crucial aspect of financial analysis and investment decision-making.

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iamkirankumaryadav/Selection

Choosing the Correct Model for the our Data Set on the Basis of Scikit Learn Algorithm Map.

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MohamedSebaie/Arabic_Dialect_Identification_NLP-AIM-Task

Arabic_Dialect_Identification_NLP-AIM-Task

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sssingh/credit-card-fraud-detection

Build, train and compare performances of multiple binary classification machine learning model techniques to detect credit card fraudulent transactions.

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RobinSmits/Dutch-NLP-Experiments

This repository contains a number of experiments with Multi Lingual Transformer models (Multi-Lingual BERT, DistilBERT, XLM-RoBERTa, mT5 and ByT5) focussed on the Dutch language.

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jeongwhanchoi/object-detection

Object Detection Techniques for the Vehicle Detection

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lmihaig/EuroparlClimateVotes

This project was built within 24h by the team Augusteam for the DevHacks 2022 Climate Change hackathon sponsored by Systematic and it won the third place worth 500€

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ibodumas/linearSVM

This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

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AminKhavari78/-Maternal-Health-Risk-Data-Set

In this part I'm working on Maternal Health Risk Prediction

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mbfakourii/Drug-Score-Rating

Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models

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SkyThonk/Movie-Reviews-Sentiment-Analysis

Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is used is "IMDB Dataset of 50K Movie Reviews" and the machine learning algorithm which I used in this is Logistic Regression , Random Forest and LinearSVC.

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amichaelsen/cooking-cuisine-analysis

Erdos Institute Bootcamp project analyzing cuisines by recipe ingredient lists.

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quaziadib/Identifying-Offensive-Language-in-Social-Media

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KarthikMurugadoss1804/Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

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wolfsinem/product-tagging

Part of an internal project for my internship

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AdityaKumar-01/irisDeployed

A flask app to prdict iris flower using LinearSVC deployed on heroku

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dev-Roshan-lab/binary-image-classifier

Deep-learning is hard bro !, so made a binary classifier in machine learning that uses HSV Color Space to Look out for Features

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ChiWang03/Text-Classification

Exploring different text classification methods

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atul04/TopicClassificationChallenge

Long english text passages are given, a genuine topic is needed to be assigned to the particular text passage. After cleaning the dataset, features were learnt using thidf approach, Linear SVC is used to get the final prediction

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