Skip to content
#

voting-classifier

Here are 120 public repositories matching this topic...

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

  • Updated May 8, 2018
  • Python

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

  • Updated Dec 19, 2021
  • Jupyter Notebook

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

  • Updated Jan 12, 2024
  • Jupyter Notebook

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

  • Updated Jan 24, 2020
  • Jupyter Notebook

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

  • Updated Oct 2, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the voting-classifier topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the voting-classifier topic, visit your repo's landing page and select "manage topics."

Learn more