Projects in Awesome Lists tagged with passive-aggressive-classifier
A curated list of projects in awesome lists tagged with passive-aggressive-classifier .
https://github.com/chiraag-kakar/fund
An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.
confusion-matrix fake-news machine-learning-algorithms news-article passive-aggressive-classifier project sklearn tf-idf tfidf-text-analysis tfidf-vectorizer tfidfvectorizer
Last synced: 07 May 2025
https://github.com/pavansomisetty21/fake-news-detection-
fake news detection using passive Aggresive classifier
classification classification-internal fake fake-news fake-news-classification fake-news-detection machine-learning machine-learning-algorithms machinelearning passive-aggressive-classifier
Last synced: 10 Jun 2026
https://github.com/aashish22bansal/fake-news-detection
This is a simple model which first vectorizes the training data using TF-IDF and then uses Passive Aggressive Classifier to train on the input data.
detection fake-news fake-news-detection machine-learning passive-aggressive-classifier tf-idf
Last synced: 12 Jul 2025
https://github.com/curiousnish/fake-news-detector
Detect FAKE news using sklearn
binary-classification fake-news passive-aggressive-classifier sklearn-vectorizer tf-idf tfidfvectorizer
Last synced: 13 Apr 2025
https://github.com/sabin74/fake_news_detection
This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.
fake-news-detection kaggle-dataset multinomial-naive-bayes passive-aggressive-classifier python3 regex scikit-learn
Last synced: 16 Apr 2026
https://github.com/bilalhameed248/nlp-fake-news-classification
Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)
artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier
Last synced: 06 Jun 2026
https://github.com/lefteris-souflas/ai-fashion
"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.
business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2
Last synced: 02 May 2026
