https://github.com/adistrim/truthfulnessclassifier

An experimental machine learning project 🤖📖
https://github.com/adistrim/truthfulnessclassifier

gradient-boosting-machine logistic-regression machine-learning mlp-classifier naive-bayes random-forest svm-classifier

Last synced: 7 days ago
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An experimental machine learning project 🤖📖

• Host: GitHub
• URL: https://github.com/adistrim/truthfulnessclassifier
• Owner: adistrim
• License: mit
• Created: 2024-09-02T16:59:33.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-09-12T17:53:06.000Z (2 months ago)
• Last Synced: 2024-09-13T07:07:56.778Z (2 months ago)
• Topics: gradient-boosting-machine, logistic-regression, machine-learning, mlp-classifier, naive-bayes, random-forest, svm-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 14.6 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FakeNewsDetector - TruthfulnessClassifier

An experimental machine learning project designed to identify fake news and misleading statements made by politicians along with justifications given by journalists from this [dataset](https://drive.google.com/drive/folders/1ffA499jzs7IABVuJ7dyHdn_7NQKqbGzT?usp=sharing). The project implements six machine learning models for both binary and multiclass classification tasks.

## Models

- Logistic Regression

- Support Vector Machine (SVM)

- Random Forest

- Naive Bayes

- Multilayer Perceptron (MLP)

- Gradient Boosting Machine

## Installation

Python 3.6+. Install the required libraries:

#### 1. Activate the virtual environment:

```bash

python -m venv .venv

source .venv/bin/activate

```

For Windows:

```bash

python -m venv .venv

.venv\Scripts\activate

```

#### 2. Install the required libraries:

```bash

pip install -r requirements.txt

```

## LICENSE

[MIT License](LICENSE)