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Oct 8, 2020 - Jupyter Notebook
passiveaggressiveclassifier
Here are 19 public repositories matching this topic...
It is an NLP-based classifier for detecting Fake news and classifying each news as Fake or Real.
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Aug 9, 2021 - Jupyter Notebook
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.
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Jul 2, 2024 - Jupyter Notebook
Random data science projects
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May 24, 2020 - HTML
Fake News Detection Using Python
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Oct 7, 2022 - Jupyter Notebook
A Supervised Learning model, PassiveAggressiveClassifier is used for detecting Fake news from a data set.
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Jun 11, 2021 - Jupyter Notebook
Implemented online learning algorithms which enable model updates with new data without full retraining.
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Apr 7, 2024 - Jupyter Notebook
Fake news detection using machine learning
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Jul 13, 2024 - Jupyter Notebook
detecting fake new from bunch of news
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Sep 21, 2020 - Jupyter Notebook
Fake News Classifier with TfidfVectorizer
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Jan 19, 2022 - Jupyter Notebook
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.
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Jul 8, 2020
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 fa…
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Jul 8, 2020 - Jupyter Notebook
Fake News Detection using Sklearn's Passive Aggressive Classifier Model
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Oct 4, 2020 - Jupyter Notebook
This Python project detect fake and real news using PassiveAggressiveClassifier.
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Feb 18, 2021 - Jupyter Notebook
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.
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May 14, 2020 - Jupyter Notebook
Fake News Detection using Machine Learning Algorithms and deploying using Flask
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Aug 11, 2023 - Jupyter Notebook
Machine learning approach for fake news detection using Scikitlearn
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Jun 13, 2020 - Jupyter Notebook
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.
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Feb 15, 2021 - Jupyter Notebook
Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter
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Nov 10, 2023 - Jupyter Notebook
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