passiveaggressiveclassifier

There are 0 repository under passiveaggressiveclassifier topic.

• Athiban-32 / twitter-sentiment-analysis

  Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter

  machine-learningnlptextblobtwittertwitter-sentiment-analysisadaboostclassifiernaive-bayes-classifiernatural-language-processingpassiveaggressiveclassifierperceptrontext-classificationtext-miningvadervader-sentiment-analysis
  Language:Jupyter Notebook 6

• ramarav / Fake_News_Detection

  Machine learning approach for fake news detection using Scikitlearn

  python3python-3pythonmachine-learningmachine-learning-algorithmsmachinelearningscikitlearn-machine-learningscikit-learnpassiveaggressiveclassifiertfidfvectorizerpandasnumpyitertoolsjupyter-notebookjupyter-notebooks
  Language:Jupyter Notebook 4

• sbhakat / PAP-review-inputs

  How one can use binary classifiers, variational auto-encoder, TICA, PCA, distance and dihedral order parameters as CVs in context of pepsin-like aspartic proteases e.g. BACE1 and plasmepsin-II.

  aspartic-proteasesmetadynamicsmolecular-dynamicspapspassiveaggressiveclassifierplasmepsinplumed2svm-classifierticavariational-autoencoder
  Language:Jupyter Notebook 4

• kuldeep27396 / Real_News

  Learned to detect fake news with Python. We took a political dataset, implemented a TfidfVectorizer, initialized a PassiveAggressiveClassifier, and fit our model. We ended up obtaining an accuracy of 92.82% in magnitude.

  data-sciencemachinelearningtfidfvectorizerpassiveaggressiveclassifier
  Language:Jupyter Notebook 3

• Yash-Barjatya / Fake_News_Detection

  Fake News Detection using Machine Learning Algorithms and deploying using Flask

  binary-classificationdecision-tree-classifierfake-newslogistic-regressionmachine-learningmachine-learning-projectmltfidf-vectorizerfake-news-detectioncss3deployemntflaskhtml5passive-aggressive-classifierpassiveaggressiveclassifier
  Language:Jupyter Notebook 3

• sakshigupta08 / Fake-News-Detection-using-PAC

  This Python project detect fake and real news using PassiveAggressiveClassifier.

  passiveaggressiveclassifiersklearn-library
  Language:Jupyter Notebook 2

• NakulLakhotia / Fake-News-Detection-using-PassiveAggressiveClassifier

  Fake News Detection using Sklearn's Passive Aggressive Classifier Model

  classification-algorithmfake-newsmachine-learningnlp-machine-learningpassiveaggressiveclassifiersklearn
  Language:Jupyter Notebook 1

• srl123 / Analysis-of-Machine-Learning-Algorithms-for-DDos-Detection

  Used different types of machine learning classifiers such as Passive Aggressive, Extra Trees, Dummy Classifier to detect the DDos attack and compared the accuracies of the classifiers to determine the best out of the three.

  datavisualizationdummyclassfierensemble-learningextratreesclassifiermachine-learning-algorithmsmajorvotingclassifiernumpypandaspassiveaggressiveclassifierpython3sklearnstackingstacking-ensembleweightedaverage
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• srl123 / Covid19-Fake-News-Detection

  Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fake news regarding Covid19 pandemic with the help of the dataset from Kaggle containing Covid19 public media information. I have also used different machine learning classifiers to check which classifier is best suited for the detection

  machine-learning-algorithmspython3classifier-trainingkaggle-datasetpandasnumpysklearnmatplotlibpassiveaggressiveclassifiermultinomial-naive-bayeslinearsvcstochastic-gradient-descenttfidf-vectorizer
  Language:Jupyter Notebook 1

• MalaPetra / DataScienceProjects

  Random data science projects

  sentiment-analysispassiveaggressiveclassifier
  Language:HTML 0

• Niru8449 / Verifacts

  Implemented online learning algorithms which enable model updates with new data without full retraining.

  passiveaggressiveclassifiertf-idf-vectorizer
  Language:Jupyter Notebook 0

• Athari22 / Fake-News-Detection-Using-Python

  Fake News Detection Using Python

  classifierconfusionmatrixdetectionfake-newsnlppassiveaggressiveclassifierpythontfidfvectorizerwordcloudwordcloud-generatorwordcloud-librarywordcloud-visualization
  Language:Jupyter Notebook

• carlostbello / Fake-News

  machinelearning-pythontfidf-vectorizerpassiveaggressiveclassifier
  Language:Jupyter Notebook

• deepaligarg / Fake-News-Classifier

  It is an NLP-based classifier for detecting Fake news and classifying each news as Fake or Real.

  pythonnlpnaive-bayes-classifierpassiveaggressiveclassifierbag-of-wordstf-idf
  Language:Jupyter Notebook

• harmanveer-2546 / Titanic-Survival-prediction-with-20-Algorithm

  The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150.

  calibrated-predictionsextratreesclassifierlgblinearsvcmatplotlibmlpclassifiernumpyosoutlier-detectionpandaspassiveaggressiveclassifierpredictionpythonridgeclassifierseabornsgdclassifiertitanic-kaggletitanic-survival-prediction
  Language:Jupyter Notebook

• heysouravv / Fake-News-Classifier

  Fake News Classifier with TfidfVectorizer

  passiveaggressiveclassifiersklearnpython3hacktoberfest
  Language:Jupyter Notebook

• mrtaz77 / fitymi-Fake-It-Till-You-Make-It

  Fake news detection using machine learning

  fake-news-detectionpassiveaggressiveclassifiertfidf-vectorizer
  Language:Jupyter Notebook

• sagarrajroul / Fake_news_detection

  detecting fake new from bunch of news

  pythontfidf-vectorizerpassiveaggressiveclassifier
  Language:Jupyter Notebook

• srish14 / Fake_News_Detection

  A Supervised Learning model, PassiveAggressiveClassifier is used for detecting Fake news from a data set.

  jupyter-notebookpassiveaggressiveclassifier
  Language:Jupyter Notebook